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Articles 1 - 30 of 1584

Full-Text Articles in Systems Engineering

Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek Sep 2019

Composition Of Templates For Transitional Pedipulation Behaviors, Thomas T. Topping, Vasileios Vasilopoulos, Avik De, Daniel E. Koditschek

Departmental Papers (ESE)

Abstract. We document the reliably repeatable dynamical mounting and dismounting of wheeled stools and carts, and of fixed ledges, by the Minitaur robot. Because these tasks span a range of length scales that preclude quasi-static execution, we use a hybrid dynamical systems framework to variously compose and thereby systematically reuse a small lexicon of templates (low degree of freedom behavioral primitives). The resulting behaviors comprise the key competences beyond mere locomotion required for robust implementation on a legged mobile manipulator of a simple version of the warehouseman’s problem.


Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis Aug 2019

Maize Yield And Nitrate Loss Prediction With Machine Learning Algorithms, Mohsen Shahhosseini, Rafael A. Martinez-Feria, Guiping Hu, Sotirios Archontoulis

Mohsen Shahhosseini

Pre-season prediction of crop production outcomes such as grain yields and N losses can provide insights to stakeholders when making decisions. Simulation models can assist in scenario planning, but their use is limited because of data requirements and long run times. Thus, there is a need for more computationally expedient approaches to scale up predictions. We evaluated the potential of five machine learning (ML) algorithms as meta-models for a cropping systems simulator (APSIM) to inform future decision-support tool development. We asked: 1) How well do ML meta-models predict maize yield and N losses using pre-season information? 2) How many data ...


Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham Aug 2019

Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham

Mohsen Shahhosseini

Aggregating multiple learners through an ensemble of models aims to make better predictions by capturing the underlying distribution more accurately. Different ensembling methods, such as bagging, boosting and stacking/blending, have been studied and adopted extensively in research and practice. While bagging and boosting intend to reduce variance and bias, respectively, blending approaches target both by finding the optimal way to combine base learners to find the best trade-off between bias and variance. In blending, ensembles are created from weighted averages of multiple base learners. In this study, a systematic approach is proposed to find the optimal weights to create ...


Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham Aug 2019

Optimizing Ensemble Weights And Hyperparameters Of Machine Learning Models For Regression Problems, Mohsen Shahhosseini, Guiping Hu, Hieu Pham

Guiping Hu

Aggregating multiple learners through an ensemble of models aims to make better predictions by capturing the underlying distribution more accurately. Different ensembling methods, such as bagging, boosting and stacking/blending, have been studied and adopted extensively in research and practice. While bagging and boosting intend to reduce variance and bias, respectively, blending approaches target both by finding the optimal way to combine base learners to find the best trade-off between bias and variance. In blending, ensembles are created from weighted averages of multiple base learners. In this study, a systematic approach is proposed to find the optimal weights to create ...


Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher Aug 2019

Evaluating Machine Learning Performance In Predicting Injury Severity In Agribusiness Industries, Fatemeh Davoudi Kakhki, Steven A. Freeman, Gretchen A. Mosher

Agricultural and Biosystems Engineering Publications

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident outcome in occupational safety is relatively new. This study tests the performance of machine learning techniques in modeling and predicting occupational incidents severity with respect to accessible information of injured workers in agribusiness industries using workers’ compensation claims. More than 33,000 incidents within agribusiness industries in the Midwest of the United States for 2008–2016 were analyzed. The total cost of incidents was extracted and classified from workers’ compensation claims. Supervised machine learning algorithms for classification (support vector machines ...


Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich Jun 2019

Shoulder Muscular Fatigue From Static Posture Concurrently Reduces Cognitive Attentional Resources, Mitchell L. Stephenson, Alec G. Ostrander, Hamid Norasi, Michael C. Dorneich

Industrial and Manufacturing Systems Engineering Publications

Objective: The goal of this work is to determine whether muscular fatigue concurrently reduces cognitive attentional resources in technical tasks for healthy adults.

Background: Muscular fatigue is common in the workplace but often dissociated with cognitive performance. A corpus of literature demonstrates a link between muscular fatigue and cognitive function, but few investigations demonstrate that the instigation of the former degrades the latter in a way that may affect technical task completion. For example, laparoscopic surgery increases muscular fatigue, which may risk attentional capacity reduction and undermine surgical outcomes.

Method: A total of 26 healthy participants completed a dual-task cognitive ...


Challenges Of Erau’S First Suborbital Flight Aboard Blue Origin’S New Shepard M7 For The Cell Research Experiment In Microgravity (Crexim), Pedro Llanos, Kristina Andrijauskaite, Vijay V. Duraisamy, Francisco F. Pastrana, Erik Seedhouse, Sathya Gangadharan, Leonid Bunegin, Mariel Rico Jun 2019

Challenges Of Erau’S First Suborbital Flight Aboard Blue Origin’S New Shepard M7 For The Cell Research Experiment In Microgravity (Crexim), Pedro Llanos, Kristina Andrijauskaite, Vijay V. Duraisamy, Francisco F. Pastrana, Erik Seedhouse, Sathya Gangadharan, Leonid Bunegin, Mariel Rico

Pedro J. Llanos (www.AstronauticsLlanos.com)

Cell Research Experiment In Microgravity (CRExIM) was launched aboard Blue Origin’s New Shepard suborbital vehicle on Tuesday, December 12, 2017, from the West Texas Launch Site in Van Horn, Texas. One of the aims of this science experiment was to assess the effects of microgravity on murine T-cells during suborbital flight. These cells were placed in a NanoLab with a data logger that sensed the acceleration, temperature, and relative humidity during preflight, flight, and postflight operations. Some discrepancies in sensor measurement were noticed, and these errors were attributed partly to the difference in sampling rates and partly to the ...


Systematizing Gibsonian Affordances In Robotics: An Empirical, Generative Approach Derived From Case Studies In Legged Locomotion, Sonia F. Roberts, Lisa J. Miracchi, Daniel E. Koditschek May 2019

Systematizing Gibsonian Affordances In Robotics: An Empirical, Generative Approach Derived From Case Studies In Legged Locomotion, Sonia F. Roberts, Lisa J. Miracchi, Daniel E. Koditschek

Departmental Papers (ESE)

A Gibsonian theory of affordances commits to direct perception and the mutuality of the agent-environment system. We argue that there already exists a research program in robotics which incorporates Gibsonian affordances. Controllers under this research program use information perceived directly from the environment with little or no further processing, and implicitly respect the indivisibility of the agentenvironment system. Research investigating the relationships between environmental and robot properties can be used to design reactive controllers that provably allow robots to take advantage of these affordances. We lay out key features of our empirical, generative Gibsonian approach and both show how it ...


Mechanical And Virtual Compliance For Robot Locomotion In A Compliant World, Sonia F. Roberts, Daniel E. Koditschek May 2019

Mechanical And Virtual Compliance For Robot Locomotion In A Compliant World, Sonia F. Roberts, Daniel E. Koditschek

Departmental Papers (ESE)

This abstract was accepted to the Robot Design and Customization workshop at ICRA 2019.

For more information: Kod*lab.


Rapid In Situ Characterization Of Soil Erodibility With A Field Deployable Robot, Feifei Qian, Dylan Lee, George Nikolich, Daniel E. Koditschek, Douglas J. Jerolmack May 2019

Rapid In Situ Characterization Of Soil Erodibility With A Field Deployable Robot, Feifei Qian, Dylan Lee, George Nikolich, Daniel E. Koditschek, Douglas J. Jerolmack

Departmental Papers (ESE)

Predicting the susceptibility of soil to wind erosion is difficult because it is a multivariate function of grain size, soil moisture, compaction, and biological growth. Erosive agents like plowing and grazing also differ in mechanism from entrainment by fluid shear; it is unclear if and how erosion thresholds for each process are related. Here we demonstrate the potential to rapidly assemble empirical maps of erodibility while also examining what controls it, using a novel “plowing” test of surface-soil shear resistance (𝜏r) performed by a semi-autonomous robot. Field work at White Sands National Monument, New Mexico, United States, examined gradients ...


Sufficient Conditions For Optimal Control Problems With Terminal Constraints And Free Terminal Times With Applications To Aerospace, Sankalp Kishan Bhan May 2019

Sufficient Conditions For Optimal Control Problems With Terminal Constraints And Free Terminal Times With Applications To Aerospace, Sankalp Kishan Bhan

Engineering and Applied Science Theses & Dissertations

Motivated by the flight control problem of designing control laws for a Ground Collision Avoidance System (GCAS), this thesis formulates sufficient conditions for a strong local minimum for a terminally constrained optimal control problem with a free-terminal time. The conditions develop within the framework of a construction of a field of extremals by means of the method of characteristics, a procedure for the solution of first-order linear partial differential equations, but modified to apply to the Hamilton-Jacobi-Bellman equation of optimal control. Additionally, the thesis constructs these sufficient conditions for optimality with a mathematically rigorous development. The proof uses an approach ...


Extraction Of Thorium Dioxide And Other Ree Oxides From Monazite Ore, Bradley M. Bennett, Julia Johnson, Kelsey Hay, Chelsea Connolly-Horton May 2019

Extraction Of Thorium Dioxide And Other Ree Oxides From Monazite Ore, Bradley M. Bennett, Julia Johnson, Kelsey Hay, Chelsea Connolly-Horton

Chancellor’s Honors Program Projects

No abstract provided.


Interfaith Health Clinic Electronic Records Implementation Of Standard Operating Procedures, Payton E. Garland, Emily Mae Diehl, Clark Michael Legac, Joshua Presnell May 2019

Interfaith Health Clinic Electronic Records Implementation Of Standard Operating Procedures, Payton E. Garland, Emily Mae Diehl, Clark Michael Legac, Joshua Presnell

Chancellor’s Honors Program Projects

No abstract provided.


Simulating Alternative Tuberculosis Diagnosis Methods In Underdeveloped Countries, Luke Turner May 2019

Simulating Alternative Tuberculosis Diagnosis Methods In Underdeveloped Countries, Luke Turner

Industrial Engineering Undergraduate Honors Theses

Tuberculosis is the deadliest infectious disease in the world; it is especially rampant in underdeveloped countries because they do not have the infrastructure, technology, or funding to properly combat the infection. However, the development of portable point-of-care diagnosis machines can reverse this epidemic as they far surpass conventional laboratory identification. The question now is where to place these machines, which is a difficult decision with a lack of data. Therefore, a flexible simulation model is created to test the implementation of these machines with different countries and configurations. The simulation tests the baseline model and three proposed implementations of the ...


Mitigating Energy Loss In A Robot Hopping On A Physically Emulated Dissipative Substrate, Sonia F. Roberts, Daniel E. Koditschek May 2019

Mitigating Energy Loss In A Robot Hopping On A Physically Emulated Dissipative Substrate, Sonia F. Roberts, Daniel E. Koditschek

Departmental Papers (ESE)

We work with geoscientists studying erosion and desertification to improve the spatial and temporal resolution of their data collection over long transects in difficult realworld environments such as deserts. The Minitaur robot, which can run quickly over uneven terrain and use a single leg to measure relevant ground properties such as stiffness, is an attractive scout robot candidate for inclusion in a heterogeneous team in collaboration with a heavily geared, sensor-laden RHex. However, Minitaur is challenged by long-distance locomotion on sand dunes. Previous simulation results suggested that the energetic cost of transport can be mitigated by programming a virtual damping ...


Extreme Altitude Search And Rescue Helicopter, Matthew J. De Sieno, Anthony Chavarria, David Stuver, Zach Boss Apr 2019

Extreme Altitude Search And Rescue Helicopter, Matthew J. De Sieno, Anthony Chavarria, David Stuver, Zach Boss

Senior Design Project For Engineers

The goal of this design was to develop an extreme altitude rescue helicopter capable of retrieving hikers stranded on top of Mount Everest. Using the Eurocopter AS350 as a baseline, a conceptual model was produced that is fully capable of hovering and delivering forward flight at the desired altitude of 8,848 meters. Combined blade element momentum theory, proper airfoil selection, and forward flight calculations were utilized in order to optimize the rotor for the given flight conditions on top of Mount Everest. Conceptual fluid dynamics and CAD modeling aided in the process of visually designing the fuselage and rotor ...


Supply Chain Network Analysis For Outboard Motors At Motor Boaters Usa, Seyedalireza (Ali) Ghiasi, Chase Griffith, Djanene Manuel, Yesenia Pérez, Alvand Rafiee Apr 2019

Supply Chain Network Analysis For Outboard Motors At Motor Boaters Usa, Seyedalireza (Ali) Ghiasi, Chase Griffith, Djanene Manuel, Yesenia Pérez, Alvand Rafiee

Senior Design Project For Engineers

Motor Boaters USA found themselves possibly spending too much on their current network distribution of small and large outboard motors and requested new distribution alternatives for the U.S. Through past network distribution data analysis, the team devised 3 scenarios it believed would provide one or more cost effective distribution networks applicable to the request. Through what-if analysis, the teams' calculations produced solid results, which were then presented to Motor Boaters USA for reflection and possible implementation.


An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht Apr 2019

An Aco-Inspired, Probabilistic, Greedy Approach To The Drone Traveling Salesman Problem, Jessica Houseknecht

Senior Honors Theses

In recent years, major companies have done research on using drones for parcel delivery. Research has shown that this can result in significant savings, which has led to the formulation of various truck and drone routing and scheduling optimization problems. This paper explains and analyzes a new approach to the Drone Traveling Salesman Problem (DTSP) based on ant colony optimization (ACO).

The ACO-based approach has an acceptance policy that maximizes the usage of the drone. The results reveal that the pheromone causes the algorithm to converge quickly to the best solution. The algorithm performs comparably to the MIP model, CP ...


Development Of A Scada System For Alternative Energy, Molom-Ochir Mijid Apr 2019

Development Of A Scada System For Alternative Energy, Molom-Ochir Mijid

Morehead State Theses and Dissertations

A thesis presented to the faculty of the College of Business and Technology at Morehead State University in partial fulfillment of the requirement for the Degree Master of Science by Molom-Ochir Mijid on April 18, 2019.


A Hierarchical Core Reference Ontology For New Technology Insertion Design In Long Life Cycle, Complex Mission Critical Systems, Kevin J. Michael Apr 2019

A Hierarchical Core Reference Ontology For New Technology Insertion Design In Long Life Cycle, Complex Mission Critical Systems, Kevin J. Michael

Engineering Management & Systems Engineering Projects for D. Eng. Degree

Organizations, including government, commercial and others, face numerous challenges in maintaining and upgrading long life-cycle, complex, mission critical systems. Maintaining and upgrading these systems requires the insertion and integration of new technology to avoid obsolescence of hardware software, and human skills, to improve performance, to maintain and improve security, and to extend useful life. This is particularly true of information technology (IT) intensive systems. The lack of a coherent body of knowledge to organize new technology insertion theory and practice is a significant contributor to this difficulty. This research organized the existing design, technology road mapping, obsolescence, and sustainability literature ...


An Investigation Of General Criteria For Assessing Space Flight Systems Of Diverse Mission Concept Designs, Cindy L. Daniels Apr 2019

An Investigation Of General Criteria For Assessing Space Flight Systems Of Diverse Mission Concept Designs, Cindy L. Daniels

Engineering Management & Systems Engineering Theses & Dissertations

The purpose of this research is to investigate the general criteria for assessing the technical implementation risk factors of proposed space science missions at the mission concept stage. According to the National Aeronautics and Space Administration (NASA) Space Flight Program and Project Management Handbook (NASA, 2012), the mission concept review objectives are “To evaluate the feasibility of the proposed mission concept(s) and its fulfillment of the program's needs and objectives. To determine whether the maturity of the concept and associated planning are sufficient to begin Phase A” (p.33). Experts previously defined two technical risk factors, to assess ...


Development Of A Myoelectric Detection Circuit Platform For Computer Interface Applications, Nickolas Andrew Butler Mar 2019

Development Of A Myoelectric Detection Circuit Platform For Computer Interface Applications, Nickolas Andrew Butler

Master's Theses and Project Reports

Personal computers and portable electronics continue to rapidly advance and integrate into our lives as tools that facilitate efficient communication and interaction with the outside world. Now with a multitude of different devices available, personal computers are accessible to a wider audience than ever before. To continue to expand and reach new users, novel user interface technologies have been developed, such as touch input and gyroscopic motion, in which enhanced control fidelity can be achieved. For users with limited-to-no use of their hands, or for those who seek additional means to intuitively use and command a computer, novel sensory systems ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer Jan 2019

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Stephen B. Gilbert

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer Jan 2019

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Michael C. Dorneich

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer Jan 2019

Evaluation Of An Intelligent Team Tutoring System For A Collaborative Two-Person Problem: Surveillance, Alec Ostrander, Desmond Bonner, Jamiahus Walton, Anna Slavina, Kaitlyn M. Ouverson, Adam Kohl, Stephen Gilbert, Michael Dorneich, Anne Sinatra, Eliot H. Winer

Industrial and Manufacturing Systems Engineering Publications

This paper describes the development and evaluation of an Intelligent Team Tutoring System (ITTS) for pairs of learners working collaboratively to monitor an area. In the Surveillance Team Tutor (STT), learners performed a surveillance task in a virtual environment, communicating to track hostile moving soldiers. This collaborative problem solving task required significant communication to achieve the common goal of perfect surveillance. In a pilot evaluation, 16 two-person teams performed the task within one of three feedback conditions (Individual, Team, or None) across four trials each. The STT used a unique approach to filtering feedback so that teams in both individual ...


A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall Jan 2019

A Design For Affordances Framework For Product Packaging: Food Packaging Case Study, Ahmad Abdelhafiz Mumani, Richard T. Stone, Esraa Abdelall

Journal of Applied Packaging Research

Since affordances provided by packaging features play a major role in facilitating user packaging interaction, it is important to integrate the concept of affordances into the packaging design process and to understand the interrelationships between packaging features and affordances. A framework is proposed for linking user requirements to packaging design features utilizing the concept of affordances. The framework is accomplished in two main steps; first, determine the affordances required to facilitate performing packaging-related tasks, and second, link these affordances to packaging features. Previous packaging usability studies were reviewed to elicit requirements in terms of affordance properties such as intuitiveness, responsiveness ...


Task-Based Control And Design Of A Bldc Actuator For Robotics, Avik De, Abriana Stewart-Height, Daniel E. Koditschek Jan 2019

Task-Based Control And Design Of A Bldc Actuator For Robotics, Avik De, Abriana Stewart-Height, Daniel E. Koditschek

Departmental Papers (ESE)

This paper proposes a new multi-input brushless DC motor current control policy aimed at robotics applications. The controller achieves empirical improvements in steady-state torque and power-production abilities relative to conventional controllers, while retaining similarly good torque-tracking and stability characteristics. Simulations show that non-conventional motor design optimizations whose feasibility is established by scaling model extrapolations from existing motor catalogues can vastly amplify the effectiveness of this new control-strategy.


Educating The Space Scientists At Embry-Riddle Through Design, Build And Fly Rocketry Experience, Pedro Llanos, Robert E. Haley, Sathya Gangadharan Jan 2019

Educating The Space Scientists At Embry-Riddle Through Design, Build And Fly Rocketry Experience, Pedro Llanos, Robert E. Haley, Sathya Gangadharan

Pedro J. Llanos (www.AstronauticsLlanos.com)

Practical experience for students in rockets and payloads is very valuable in the space industry, and it is something that would give them an advantage over other applicants. Students in Embry-Riddle Aeronautical University’s Payload and Integration class were given the opportunity to build a level 1 rocket and gain experience developing, testing, and integrating payloads into a rocket. The students were given the tasks to come up with an idea for a payload, design the payload to fit within the rocket for flight, and assemble and launch the rocket with the payload in the payload bay. The tasks required ...


The Tabu Ant Colony Optimizer And Its Application In An Energy Market, David Donald Haynes Jan 2019

The Tabu Ant Colony Optimizer And Its Application In An Energy Market, David Donald Haynes

Doctoral Dissertations

"A new ant colony optimizer, the 'tabu ant colony optimizer' (TabuACO) is introduced, tested, and applied to a contemporary problem. The TabuACO uses both attractive and repulsive pheromones to speed convergence to a solution. The dual pheromone TabuACO is benchmarked against several other solvers using the traveling salesman problem (TSP), the quadratic assignment problem (QAP), and the Steiner tree problem. In tree-shaped puzzles, the dual pheromone TabuACO was able to demonstrate a significant improvement in performance over a conventional ACO. As the amount of connectedness in the network increased, the dual pheromone TabuACO offered less improvement in performance over the ...


Systems Approaches To Transdisciplinary Sustainable Development Issues, David Lawrence Zelinka Jan 2019

Systems Approaches To Transdisciplinary Sustainable Development Issues, David Lawrence Zelinka

Civil Engineering Graduate Theses & Dissertations

The goals of this dissertation are twofold. The first is to advance the discipline of sustainability science through the application of systems-based tools (primarily system dynamics) and civil engineering principles. Sustainability science is fundamental to implementing effective strategies for progressing sustainable development and improving human well-being around the planet, but it is still not fully developed as a science and needs new methods and approaches due to the field’s inherent interdisciplinarity and complexity. Civil engineering as a foundation provides mathematical knowledge, computer modeling skills, and a wide breadth of technical understanding, but it lacks the societal, political, and economic ...