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Articles 10531 - 10560 of 39816

Full-Text Articles in Civil and Environmental Engineering

Bench-Scale Investigation Of Remote Detection Of Clay Pockets In Granular Soils, Nick W. Hudyma, Brian Kopp, Joshua Oglesby, Sukris Vong Jan 2020

Bench-Scale Investigation Of Remote Detection Of Clay Pockets In Granular Soils, Nick W. Hudyma, Brian Kopp, Joshua Oglesby, Sukris Vong

Civil Engineering Faculty Publications and Presentations

The detection of deleterious materials in compacted soil fills is an important part of earthwork construction. These materials are often identified a priori using laboratory techniques such as the visual assessment of sieve analyses. However, it is possible that deleterious materials, such as clay pockets, can be larger than particles characterized in laboratory tests. Bench scale imaging using simulated unmanned aerial vehicle flights were conducted to determine if clay pockets, 15.24 cm by 15.24 cm by 5 cm thick, could be detected in granular soils. The imaging techniques employed were digital imaging, thermal imaging, and electromagnetic imaging. All imaging techniques …


Calibrating The Highway Capacity Manual Arterial Travel Time Reliability Model, Ernest Tufuor, Laurence Rilett, Li Zhao Jan 2020

Calibrating The Highway Capacity Manual Arterial Travel Time Reliability Model, Ernest Tufuor, Laurence Rilett, Li Zhao

Mid-America Transportation Center: Final Reports and Technical Briefs

The latest edition of the Highway Capacity Manual (HCM-6) includes, for the first time, a methodology for estimating and predicting the average travel time distribution (TTD) of urban streets. Travel time reliability (TTR) metrics can then be estimated from the TTD. The HCM-6 explicitly considers five key sources of travel time variability. A literature search showed no evidence that the HCM-6 TTR model has ever been calibrated with empirical travel time data. More importantly, previous research showed that the HCM-6 underestimated the empirical TTD variability by 70% on a testbed in Lincoln, Nebraska. In other words, the HCM-6 TTR metrics …


Analysis Of Component Errors In The Highway Capacity Manual Travel Time Reliability Estimations For Urban Streets, Ernest Tufuor, Laurence Rilett Jan 2020

Analysis Of Component Errors In The Highway Capacity Manual Travel Time Reliability Estimations For Urban Streets, Ernest Tufuor, Laurence Rilett

Mid-America Transportation Center: Final Reports and Technical Briefs

The Highway Capacity Manual 6th edition (HCM6) includes a new methodology to estimate and predict the distribution of average travel times (TTD) for urban streets. The TTD can then be used to estimate travel time reliability (TTR) metrics. Previous research on a 0.5-mi testbed showed statistically significant differences between the HCM6 estimated TTD and the corresponding empirical TTD. The difference in average travel time was 4 s that, while statistically significant, is not important from a practical perspective. More importantly, the TTD variance was underestimated by 70%. In other words, the HCM6 results reflected a more reliable testbed than field …


Measuring The Occurrence Of Antibiotics In Surface Water Adjacent To Cattle Grazing Areas Using Passive Samplers, Nasrin Naderi Beni, Daniel D. Snow, Elaine D. Berry, Aaron R. Mittelstet, Tiffany Messer, Shannon L. Bartelt-Hunt Jan 2020

Measuring The Occurrence Of Antibiotics In Surface Water Adjacent To Cattle Grazing Areas Using Passive Samplers, Nasrin Naderi Beni, Daniel D. Snow, Elaine D. Berry, Aaron R. Mittelstet, Tiffany Messer, Shannon L. Bartelt-Hunt

Nebraska Water Center: Faculty Publications

A wide variety of antibiotics and other pharmaceuticals are used in livestock production systems and residues passed to the environment, often unmetabolized, after use and excretion. Antibiotic residuesmay be transported frommanure-treated soils via runoff and are also capable of reaching surface and groundwater systems through a variety of pathways. The occurrence and persistence of antibiotics in the environment is a concern due to the potential for ecological effects and proliferation of environmental antibiotic resistance in pathogenic organisms. In the present study, the occurrence and seasonal variation of 24 commonly-used veterinary antibiotics was evaluated in surface water adjacent to several livestock …


Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets -- Data, Chao Zeng, Wen Deng Jan 2020

Effect Of Subsurface Microseismicity On The Motion Of Surrounding Dispersed Droplets -- Data, Chao Zeng, Wen Deng

Effect of Subsurface Microseismicity on the Motion of Surrounding Dispersed Droplets – Data

Spreadsheet - Data plotted in Figure 4 and Figure 5

Supporting information


Perceived Neighborhood: Preferences Versus Actualities, Saeed Moradi, Ali Nejat, Da Hu, Souparno Ghosh Jan 2020

Perceived Neighborhood: Preferences Versus Actualities, Saeed Moradi, Ali Nejat, Da Hu, Souparno Ghosh

Department of Statistics: Faculty Publications

Housing recovery plays a key role in the overall restoration of a community. A multitude of factors affect housing recovery, many of which are associated with interactions of residents with their perceived neighborhoods. Targeting perceived neighborhoods rather than administratively defined measures of land helps with devising recovery plans that could better address social preferences of the residents. However, such measures are commonly subject to collection of information via expensive and time-consuming surveys. The current research aims to contribute to the domain by exploring the relationship between perception of households of their neighborhood anchors (perceived anchors) and the anchors that exist …


Gender-Related Differences In Flood Risk Perception And Behaviours Among Private Groundwater Users In The Republic Of Ireland, Cillian P. Mcdowell, Luisa Andrade, Eoin O'Neill, Kevin O'Malley, Jean O'Dwyer, Paul Hynds Jan 2020

Gender-Related Differences In Flood Risk Perception And Behaviours Among Private Groundwater Users In The Republic Of Ireland, Cillian P. Mcdowell, Luisa Andrade, Eoin O'Neill, Kevin O'Malley, Jean O'Dwyer, Paul Hynds

Articles

Extreme weather events including flooding can have severe personal, infrastructural, and economic consequences, with recent evidence pointing to surface flooding as a pathway for the microbial contamination of private groundwater supplies. There is a pressing need for increasingly focused information and awareness campaigns to highlight the risks posed by extreme weather events and appropriate subsequent post-event actions. To date, little is known about the presence, directionality or magnitude of gender-related differences regarding flood risk awareness and behaviour among private groundwater users, a particularly susceptible sub-population due to an overarching paucity of infrastructural regulation across many regions. The current study investigated …


Inspire Newsletter Fall 2020, Missouri University Of Science And Technology. Inspire - University Transportation Center Jan 2020

Inspire Newsletter Fall 2020, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.


Application Of Bio-Stimulated Calcite Precipitation To Stabilize Expansive Soils: Field Trials, Bhaskar C. S. Chittoori, Anish Pathak, Malcolm Burbank, Md Touhidul Islam Jan 2020

Application Of Bio-Stimulated Calcite Precipitation To Stabilize Expansive Soils: Field Trials, Bhaskar C. S. Chittoori, Anish Pathak, Malcolm Burbank, Md Touhidul Islam

Civil Engineering Faculty Publications and Presentations

This paper presents the results of a field implementation of microbial induced calcite precipitation to stabilize expansive soils in Marsing, Idaho. The field test was done by drilling 2.5” (6.35 cm) diameter holes at a spacing of 16” to 30” (40.6 cm to 76.2 cm) into the ground and, injecting bio-enrichment followed by bio-cementation solutions to stimulate the native bacteria and subsequently achieve calcite precipitation. The pH level of the soil, the calcite content, and free swelling potential were monitored over time by collecting periodic soil samples from the injection points. An increase in pH from 8.3 to 9.7 was …


Final Report - Microwave Camera For Concrete Delamination And Steel Corrosion Detection, Chao Liu, Mohammad T. Al Qaseer, Reza Zoughi Jan 2020

Final Report - Microwave Camera For Concrete Delamination And Steel Corrosion Detection, Chao Liu, Mohammad T. Al Qaseer, Reza Zoughi

Project SN-4

This project studied the capability of microwave methods to detect thickness of induced corrosion byproduct on rebars embedded into concrete, and also similarly embedded delamination. Three microwave methods used or investigated included microwave synthetic aperture radar (SAR) imaging method, microwave resonance method, and microwave nonlinear measurement. Wideband, low-frequency antennas including a double-ridged horn and a Vivaldi antenna were designed for achieving reasonable spatial resolution while being able to penetrate lossy concrete. Simulations and experiments were conducted for all of these investigations. For the rebar samples use, the results showed that the corrosion thickness was very small (~50 m) which seemed …


Final Report - Battery-Free Antenna Sensors For Strain And Crack Monitoring Of Bridge Structures, Yang Wang, Dan Li Jan 2020

Final Report - Battery-Free Antenna Sensors For Strain And Crack Monitoring Of Bridge Structures, Yang Wang, Dan Li

Project SN-2

This project studies a wireless patch antenna as a novel strain/crack sensing technique for structural health monitoring (SHM). The strain/crack induced resonance frequency shift of the antenna can be wirelessly detected and utilized to estimate the surface strain and crack propagation. However, temperature fluctuation can generate some unwanted changes in resonance frequency and introduce significant noises in measurement. This project studies a thermally stable patch antenna sensor through both numerical simulations and laboratory experiments. Using a substrate material with a steady dielectric constant, a patch antenna sensor is designed to perform reliably under temperature fluctuations. In addition, a dual-mode patch …


Advancement Of Predictive Modeling Of Zeta Potentials (Ζ) In Metal Oxide Nanoparticles With Correlation Intensity Index (Cii), Andrey A. Toropov, Natalia Sizochenko, Alla P. Toropova, Danuta Leszczynska, Jerzy Leszczynski Jan 2020

Advancement Of Predictive Modeling Of Zeta Potentials (Ζ) In Metal Oxide Nanoparticles With Correlation Intensity Index (Cii), Andrey A. Toropov, Natalia Sizochenko, Alla P. Toropova, Danuta Leszczynska, Jerzy Leszczynski

Articles

It was expected that index of the ideality of correlation (IIC) and correlation intensity index (CII) could be used as possible tools to improve the predictive power of the quantitative model for zeta potential of nanoparticles. In this paper, we test how the statistical quality of quantitative structure-activity models for zeta potentials (ζ, a common measurement that reflects surface charge and stability of nanomaterial) could be improved with the use of these two indexes. Our hypothesis was tested using the benchmark data set that consists of 87 measurements of zeta potentials in water. We used quasi-SMILES molecular representation to take …


Steel Model Approval: Can Bim Provide A Drawing-Free Approval Process?, Bim Tudublin, David Reynolds Jan 2020

Steel Model Approval: Can Bim Provide A Drawing-Free Approval Process?, Bim Tudublin, David Reynolds

Capstone Reports

Despite widespread use of Building Information Modelling (BIM) software used within their industry, the approval of steelwork contractor’s design information is largely based on the approval of 2d-drawings. These workflows can be modernised to take advantage of current technology and provide productivity gains, but barriers to change exist. This research is an attempt to answer the research question of if a model-based approval process, which removes the need for drawings, is achievable. To answer this question, a mixed methodology was used. A literature review was performed to understand how the approval process works, what information is required and what BIM …


A Comparative Study Of Cadworx Plant 2018 And Revit 2020 With Ez-Iso Add-In, For The Production Of Piping Isometrics, Bim Tudublin, Killian Lynch Jan 2020

A Comparative Study Of Cadworx Plant 2018 And Revit 2020 With Ez-Iso Add-In, For The Production Of Piping Isometrics, Bim Tudublin, Killian Lynch

Capstone Reports

BIM software evaluation and selection is a complex process. In this paper, a comparative study of Revit 2020 with Ez-ISO add-in, and CADWorx Plant 2018, was carried out. The aim of this study was to determine if a MEP contractor could consolidate software usage into one package, thereby reducing costs for pipework modelling and isometric production. A comprehensive evaluation was developed based on a literature review. A multicriteria decision-making method was used in conjunction with the software evaluation to ensure sound choices were made. An online survey of senior BIM professionals was conducted to validate the analysis and findings. The …


A Critical Appraisal Of Findings And Solutions To Overcome Erroneous Bim Model Production And Information Delivery Workflows, Bim Tudublin, Ryan Forde Jan 2020

A Critical Appraisal Of Findings And Solutions To Overcome Erroneous Bim Model Production And Information Delivery Workflows, Bim Tudublin, Ryan Forde

Capstone Reports

There are many varying definitions of Building Information Modelling, all of which reflect its transformative capabilities and impact on the construction sector. BIM is an emerging technological and procedural shift within the AEC industry (Succar, 2009). BIM is not just a technological change, but also a procedural and workflow change (Charles Eastman, 2018). Despite the growth of BIM adoption and increasing levels of maturity regarding BIM standards, numerous issues still arise at a micro level during project execution. BIM invokes the need for workflows, frameworks and processes that imparts knowledge, heightens trust, increases efficiency and consistency while reducing fragmentation and …


A Critical Examination Of The Use Of Business Intelligence (Bi) In The Optioneering Of Generative Design Models: A Case Study., Bim Tudublin, Davitt Lamon Jan 2020

A Critical Examination Of The Use Of Business Intelligence (Bi) In The Optioneering Of Generative Design Models: A Case Study., Bim Tudublin, Davitt Lamon

Capstone Reports

This research outlines the development of a generative des ign workflow for the architectural space planning of a 1,200 sq.m office located in Dublin, Ireland, and the application of statistical analysis and data visualisation for the optioneering of gen erated models. First, the paper defines a computational desig n model with the potential to generate a variety of office layouts, including circulation routes and desk locations. It then identifies three unique performance metrics that evaluate each design option. Finally, the study applies a multi objective genetic algorithm (MOGA) to explore the high dimensional design space of all potential options and …


Thermophotovoltaic Systems For Achieving High-Solar-Fraction Hybrid Solar-Biomass Power Generation, Cm Iftekhar Hussain, Aidan Duffy, Brian Norton Jan 2020

Thermophotovoltaic Systems For Achieving High-Solar-Fraction Hybrid Solar-Biomass Power Generation, Cm Iftekhar Hussain, Aidan Duffy, Brian Norton

Articles

Medium operating temperature hybrid solar-biomass TPV power plant design requires complex integration of multiple high temperature processes with low band-gap TPV cells. A 0.72 eV band-gap GaSb TPV cell has been used in thermophotovoltaic (TPV) systems operating at temperatures above 1400 °C. Low band-gap TPV cells, such as InGaAs (Eg = 0.55 eV) and InAs (Eg = 0.36 eV) could enable a TPV system to operate optimally at temperatures ≈1000 °C. To examine this, two hybrid solar-biomass TPV system configurations are studied using TRNSYS simulation that incorporates a new algorithm for TPV. It is found that in a high solar …


Análisis Por Confiabilidad Del Modelo De Diseño Aashto 93 Para Pavimentos Flexibles En El Valle De Aburrá, Mario Santiago Hernández, Juan Pablo Osorio, Juan Camilo Viviescas Jan 2020

Análisis Por Confiabilidad Del Modelo De Diseño Aashto 93 Para Pavimentos Flexibles En El Valle De Aburrá, Mario Santiago Hernández, Juan Pablo Osorio, Juan Camilo Viviescas

Books/Book Chapters

La necesidad de construir pavimentos con mejores especificaciones técnicas y mayores períodos de servicio requiere de una modelación rigurosa de la variabilidad en las propiedades geotécnicas con el fin de garantizar la confiabilidad de estas estructuras. Por lo tanto, se realizó un análisis basado en la confiabilidad del método Aashto-93, considerando la variabilidad geotécnica del suelo, asociada al módulo resiliente de la subrasante. Los diseños por confiabilidad fueron efectuados de acuerdo con las categorías, parámetros y estructuras establecidas por el Manual de diseño de pavimentos asfálticos en vías con medios y altos volúmenes de tránsito, de 1998, del Instituto Nacional …


Land-Based Wind Energy Cost Trends In Germany, Denmark, Ireland, Norway, Sweden And The Unitedstates, Aidan Duffy, Maureen Hand, Ryan Wiser, Eric Lantz, Alberto Dalla Riva, Volker Berkhout, Maria Stenkvist, David Weir, Roberto Lacal-Arántegui Jan 2020

Land-Based Wind Energy Cost Trends In Germany, Denmark, Ireland, Norway, Sweden And The Unitedstates, Aidan Duffy, Maureen Hand, Ryan Wiser, Eric Lantz, Alberto Dalla Riva, Volker Berkhout, Maria Stenkvist, David Weir, Roberto Lacal-Arántegui

Articles

This paper presents work by the International Energy Agency’s Task 26 ‘Cost of Wind Energy’ on technological and cost trends in land-based wind energy in six participating countries (Denmark, Germany, Ireland, Norway, Sweden, United States) and the European Union between 2008 and 2016. Results indicate that there is a general trend towards larger, taller machines with lower specific powers resulting in higher capacity factors, despite small falls in new site wind resources in most countries, while wind project capital costs and project finance costs also fell. This resulted in an average levelized cost of energy (LCOE) fall of 33% for …


A Framework For Strategic Decision-Making In Construction Professional Service Firms, Oluwasegun O. Seriki Jan 2020

A Framework For Strategic Decision-Making In Construction Professional Service Firms, Oluwasegun O. Seriki

Doctoral

The construction sector plays a crucial role in the global economy, having critical importance to economic growth, social inclusion and employment. In Ireland, the sector generates a combined value of over €20 billion per annum, with 144,000 persons directly employed in the sector, which is forecasted to grow by 3.9% in 2019. The sector is also hugely complex due to the diverse range of output, from productive infrastructure (roads, railways etc.) to residential (both public and private) and the numerous stakeholders involved throughout its intricate supply chain. The sector is highly susceptible to cyclical economic patterns, making it more challenging …


Timcc: On Data Freshness In Privacy-Preserving Incentive Mechanism Design For Continuous Crowdsensing Using Reverse Auction, Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan Jan 2020

Timcc: On Data Freshness In Privacy-Preserving Incentive Mechanism Design For Continuous Crowdsensing Using Reverse Auction, Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan

Faculty and Student Publications

© 2013 IEEE. As an emerging paradigm that leverages the wisdom and efforts of the crowd, mobile crowdsensing has shown its great potential to collect distributed data. The crowd may incur such costs and risks as energy consumption, memory consumption, and privacy leakage when performing various tasks, so they may not be willing to participate in crowdsensing tasks unless they are well-paid. Hence, a proper privacy-preserving incentive mechanism is of great significance to motivate users to join, which has attracted a lot of research efforts. Most of the existing works regard tasks as one-shot tasks, which may not work very …


Semi-Annual Progress Report #6, Missouri University Of Science And Technology. Inspire - University Transportation Center Jan 2020

Semi-Annual Progress Report #6, Missouri University Of Science And Technology. Inspire - University Transportation Center

Semi-Annual Progress Reports

No abstract provided.


Comparison Of Seldm Simulated Total-Phosphorus Concentrations With Ecological Impervious-Area Criteria, Lillian C. Jeznach, Gregory E. Granato Jan 2020

Comparison Of Seldm Simulated Total-Phosphorus Concentrations With Ecological Impervious-Area Criteria, Lillian C. Jeznach, Gregory E. Granato

Engineering, Computing & Construction Management Faculty Publications

Ecological studies indicate that impervious cover (IC) greater than approximately 5%–20% may have adverse effects on receiving-stream ecology. It is difficult to separate the effects of runoff quality from other effects of urbanization on receiving streams. This study presents the results of a numerical experiment to assess the effects of increasing IC on water quality using the Stochastic Empirical Loading and Dilution Model (SELDM). Hydrologic and physiographic variables representative of southern New England were used to simulate receiving water quality in a basin with IC ranging from 0.1% to 30%. Simulation results mirror the results of ecological studies; event mean …


Final Report - A Training Framework Of Robotic Operation And Image Analysis For Decision-Making In Bridge Inspection And Preservation, Ruwen Qin, Genda Chen, Zhaozheng Yin, Muhammad Monjurul Karim, Tianyi Zhao, Suzanna Long, Sushil J. Louis Jan 2020

Final Report - A Training Framework Of Robotic Operation And Image Analysis For Decision-Making In Bridge Inspection And Preservation, Ruwen Qin, Genda Chen, Zhaozheng Yin, Muhammad Monjurul Karim, Tianyi Zhao, Suzanna Long, Sushil J. Louis

Project WD-1

This project aims to create a framework of training engineers and policy makers on robotic operation and image analysis for the inspection and preservation of transportation infrastructure. This framework includes a method for camera-based bridge inspection data collection, algorithms for data processing and pattern recognitions, and tools for inspection and preservation decision-making. Specifically, a Siamese Neural Network was developed to support bridge engineers in analyzing big video data. The network was initially trained by one-shot learning and fine-tuned iteratively with human in the loop. The neural network algorithm retrieved all related regions from the video based on the regions of …


Inspire Newsletter Spring 2020, Missouri University Of Science And Technology. Inspire - University Transportation Center Jan 2020

Inspire Newsletter Spring 2020, Missouri University Of Science And Technology. Inspire - University Transportation Center

INSPIRE Newsletters

No abstract provided.


A Training Framework Of Robotic Operation And Image Analysis For Decision-Making In Bridge Inspection And Preservation, Ruwen Qin, Genda Chen, Suzanna Long, Zhaozheng Yin, Sushil Louis, Muhammad Monjurul Karim, Tianyi Zhao Jan 2020

A Training Framework Of Robotic Operation And Image Analysis For Decision-Making In Bridge Inspection And Preservation, Ruwen Qin, Genda Chen, Suzanna Long, Zhaozheng Yin, Sushil Louis, Muhammad Monjurul Karim, Tianyi Zhao

Project WD-1

This project aims to create a framework of training engineers and policy makers on robotic operation and image analysis for the inspection and preservation of transportation infrastructure. Specifically, it develops the method for collecting camera-based bridge inspection data and the algorithms for data processing and pattern recognitions; and it creates tools for assisting users on visually analyzing the processed image data and recognized patterns for inspection and preservation decision-making.

The project first developed a Siamese Neural Network to support bridge engineers in analyzing big video data. The network was initially trained by one-shot learning and is fine-tuned iteratively with human …


Bridge Resilience Assessment With Inspire Data, Iris Tien, Yijian Zhang Jan 2020

Bridge Resilience Assessment With Inspire Data, Iris Tien, Yijian Zhang

Project RR-1

This project proposed a methodology to assess the impact of corrosion on the performance of bridges. The combined analytical and numerical modeling of shear-critical and lap-spliced columns is detailed, and outcomes are verified with previous experimental test data. The impact of corrosion on risk is assessed through conducting fragility analyses. Results quantify the increase in failure probabilities of these structures, measured by increasing probabilities of exceeding defined damage states, with increasing levels of corrosion. Corrosion is found to have a larger impact on increasing probabilities of exceeding more severe damage states. Twenty percent mass loss of reinforcement increases the probability …


Simulating Der Adoption In Wholesale Power Markets Using Agent Based Computational Economics, Islam H. El-Adaway, Charles Sims, Mohamed Eid, Yinan Liu, Gasser Galal Ali Jan 2020

Simulating Der Adoption In Wholesale Power Markets Using Agent Based Computational Economics, Islam H. El-Adaway, Charles Sims, Mohamed Eid, Yinan Liu, Gasser Galal Ali

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

There is a transition from centralized electricity generation to distributed energy resources (DER). An increasing number of customers are adopting distributed solar generation (DSG). However, utilities face the difficulty of predicting electrical demand and therefore dispatching and controlling generation. The goal of this research is to study the evolving dynamic market behavior affected by DER investment decisions. To that end, agent-based modeling (ABM) is used to study the emerging behavior of the market under those conditions. The model is developed from the existing and validated AMES framework, which is used for agent-based computational economics (ACE) simulation of wholesale power markets. …


Example Take-Home Final Exam Questions From Cee 433: Water Technology & Policy At The University Of Illinois At Urbana-Champaign, Ashlynn Stillwell Jan 2020

Example Take-Home Final Exam Questions From Cee 433: Water Technology & Policy At The University Of Illinois At Urbana-Champaign, Ashlynn Stillwell

All ECSTATIC Materials

The following example questions were part of take-home final exams spanning 2014-2020 in CEE 433: Water Technology & Policy, taught by Dr. Ashlynn S. Stillwell at the University of Illinois at Urbana-Champaign. These questions were part of the take-home final exam, with additional questions not reported here.


Teaching Across Disciplines: A Case Study Of A Project-Based Short Course To Teach Holistic Coastal Adaptation Design, Pamela K. Judge, Jane A. Buxton, Thomas C. Sheahan, Eleanor R. Phetteplace, David L. Kriebel, Elisabeth M. Hamin Infield Jan 2020

Teaching Across Disciplines: A Case Study Of A Project-Based Short Course To Teach Holistic Coastal Adaptation Design, Pamela K. Judge, Jane A. Buxton, Thomas C. Sheahan, Eleanor R. Phetteplace, David L. Kriebel, Elisabeth M. Hamin Infield

Engineering, Computing & Construction Management Faculty Publications

Climate change has led to the need for innovation in resilient infrastructure and the social policies which will support those. This requires greater interdisciplinary interactions and knowledge building among emerging professionals. This paper presents a case study of a pilot short course intended to immerse graduate students in the design of resilient infrastructure using place-based and interdisciplinary active team learning. This course helps graduate students bridge the gap between research and practice on the social science and engineering of resilient infrastructure for coastal adaptation. The intellectual framework for the course (the Adaptive Gradients Framework) provides a holistic evaluation of adaptation …