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Full-Text Articles in Architecture
Kind Gestures: Longtime Aci Members Shape The Career Of Younger Generations, Anahid A. Behrouzi
Kind Gestures: Longtime Aci Members Shape The Career Of Younger Generations, Anahid A. Behrouzi
Architectural Engineering
In this article, an Assistant Professor at California Polytechnic State University describes how her involvement with ACI has helped her to embark on projects that, as a young faculty member, she could have never envisioned. She also tells of her first ACI convention in Spring 2013, her first interaction with ACI Committee 133, Disaster Reconnaissance, in 2014, and using the ACI 318 Building Code in the classroom.
An Introduction To Deep Learning, Maria Pantoja, Anahid A. Behrouzi, Drazen Fabris
An Introduction To Deep Learning, Maria Pantoja, Anahid A. Behrouzi, Drazen Fabris
Architectural Engineering
Deep learning (DL) is currently being researched and implemented to solve civil engineering related problems, including autonomous inspection and inventory of civil infrastructure projects. The article introduces DL, specifically a convolutional neural network and the supervised learning process used to train a model that will enable professional structural engineers to automatically detect types of earthquake damage.
Celebrating 20 Years Of The Exceed Teaching Workshop, Allen C. Estes, Stephen J. Ressler, Camilla M. Saviz, Brock E. Barry, Carol L. Considine, Dion Coward, Norman D. Dennis Jr., Scott R. Hamilton, David S. Hurwitz, Tanya Kunberger, Thomas A. Lenox, Tonya Lynn Nilsson, Leslie Nolen, James J. O'Brien Jr., Robert James O'Neill, David A. Saftner, Kelly Salyards, Ronald W. Welch
Celebrating 20 Years Of The Exceed Teaching Workshop, Allen C. Estes, Stephen J. Ressler, Camilla M. Saviz, Brock E. Barry, Carol L. Considine, Dion Coward, Norman D. Dennis Jr., Scott R. Hamilton, David S. Hurwitz, Tanya Kunberger, Thomas A. Lenox, Tonya Lynn Nilsson, Leslie Nolen, James J. O'Brien Jr., Robert James O'Neill, David A. Saftner, Kelly Salyards, Ronald W. Welch
Architectural Engineering
In response to the clear need for faculty training, the American Society of Civil Engineers (ASCE) developed and funded Project ExCEEd (Excellence in Civil Engineering Education) which is celebrating its twentieth year of existence. For the past two decades, 38 ExCEEd Teaching Workshops (ETW) have been held at six different universities. The program has 910 graduates from over 267 different U.S. and international colleges and universities. The ExCEEd effort has transformed from one that relied on the grass roots support of its participants to one that is supported and embraced by department heads and deans. This paper summarizes the history …
Adjusting To The New Abet Criteria 3 And 5: It’S Really Not Very Hard, Allen C. Estes, Peter Laursen, Pamalee A. Brady
Adjusting To The New Abet Criteria 3 And 5: It’S Really Not Very Hard, Allen C. Estes, Peter Laursen, Pamalee A. Brady
Architectural Engineering
ABET has revised the criteria 3 (Student Outcomes) and 5 (Curriculum) of the general criteria. These changes have made it through the rigorous approval process and will be effective for the 2019-20 academic year. This paper analyzes the differences between the existing criteria and the proposed changes. Through a specific detailed example, the paper illustrates how an existing assessment system can seamlessly be adjusted for the new criteria. Most of the embedded indicators and direct measures of attainment can still be used. The results simply need to be organized differently.
Photo Tagging Tool For Rapid And Detailed Post-Earthquake Structural Damage Identification, Anahid A. Behrouzi, Maria Pantoja
Photo Tagging Tool For Rapid And Detailed Post-Earthquake Structural Damage Identification, Anahid A. Behrouzi, Maria Pantoja
Architectural Engineering
A significant task in earthquake reconnaissance is to conduct rapid and accurate assessments of damage to built infrastructure. This can be accomplished, in part, by analyzing the large volumes of high-resolution image data collected after a seismic event. However, detailed image tagging remains a task for trained human volunteers, which is both time-intensive and error prone. The authors developed a software tool to simplify and standardize the process of assigning damage and structure pairs to sub-regions of images. The goal of the tool is to facilitate the tagging of thousands of images from historic and recent earthquakes to train a …
Deep Learning For Automated Image Classification Of Seismic Damage To Built Infrastructure, B. Patterson, G. Leone, Maria Pantoja, Anahid A. Behrouzi
Deep Learning For Automated Image Classification Of Seismic Damage To Built Infrastructure, B. Patterson, G. Leone, Maria Pantoja, Anahid A. Behrouzi
Architectural Engineering
The amount of structural damage image data produced in the aftermath of an earthquake can be staggering. It is challenging for a few human volunteers to efficiently filter and tag these images with meaningful damage information. The proposed solution is to automate post-earthquake reconnaissance image tagging activities by training a computer algorithm to classify each occurrence of damage per building material and structural member type. The approach is based on deep learning (DL), a subset of machine learning loosely based on the operation of a biologic neural system, which aims to learn and extract accurate representations from large data sets. …
Seismic Performance Of Slender C-Shaped Walls Subjected To Unii- And Bi-Directional Loading, Anahid A. Behrouzi, A. Mock, D. Lehman, L. Lowes, D. Kuchma
Seismic Performance Of Slender C-Shaped Walls Subjected To Unii- And Bi-Directional Loading, Anahid A. Behrouzi, A. Mock, D. Lehman, L. Lowes, D. Kuchma
Architectural Engineering
Reinforced concrete structural walls are common as the primary lateral load resisting system in modern mid- and high-rise buildings constructed in seismic regions, yet few research programs have investigated the seismic performance of modern, slender walls with nonplanar cross-sectional geometries. Three large-scale, C-shaped wall specimens, designed per ACI 318-08, were tested under uni- and bi-directional loading at the University of Illinois at Urbana-Champaign (UIUC). This paper presents experimental results including the cyclic load-deformation response and measured versus nominal flexural/shear strengths as well as a description of damage sequence. Final failure occurs due to a flexure-tension failure of boundary elements where …
Multidisciplinary Research Efforts In Post-Earthquake Civil Infrastructure Reconnaissance, Jack Bergquist, Anahid A. Behrouzi
Multidisciplinary Research Efforts In Post-Earthquake Civil Infrastructure Reconnaissance, Jack Bergquist, Anahid A. Behrouzi
Architectural Engineering
To address existing challenges with filtering and classification of post-earthquake structural damage images, the authors are engaged in a multidisciplinary project to develop and train a machine-learning algorithm that identifies relevant photographs and assigns damage tags to those images. The research team is predominantly comprised of undergraduate students and is led by a structural engineering and a computer science faculty. While machine-learning algorithms have been successfully used for image tagging in a variety of fields (health care, manufacturing, etc.), the extension of this approach for earthquake reconnaissance is only just beginning. As such, the creation and development of this tool …
Software Toolset To Enable Image Classification Of Earthquake Damage To Above-Ground Infrastructure, Anahid A. Behrouzi, Maria Pantoja
Software Toolset To Enable Image Classification Of Earthquake Damage To Above-Ground Infrastructure, Anahid A. Behrouzi, Maria Pantoja
Architectural Engineering
A critical task after a significant earthquake is determining the extent of damage to infrastructure networks. The decision-making process to dispatch emergency, repair, and in-field reconnaissance teams depends on whether road/railways and bridges are passible. Another concern is the rapid identification and resolution of physical disruptions to large-volume gas and water pipeline systems. After large seismic events, citizens, amateur photographers, and journalists now post thousands of photographs to formal/social media platforms. In the past, these images would have had to be reviewed by trained volunteers or expert engineers to evaluate whether: road/rail ways were significantly impacted by ground fracture, heaving, …