Construction Engineering Commons^™

Transcend: A Thin-Shell Japanese Onsen Experience, James Douglas Blanchard, Nicholas Michael Horaney, Hunter Thomas Mosier, Lillian Cao, Cory Peterman

Architectural Engineering

This project is an interdisciplinary architectural design of a funicular Japanese onsen utilizing the compressive strength of thin-shell concrete. A section of this project was also built to scale on the Cal Poly campus in the Architectural Engineering department's High Bay facility. This project was designed utilizing Rhinoceros and analyzed using SAP 2000 19.

Bs News March/April

Building Services Engineering

No abstract provided.

Moraga Commons Skatepark - Phase 2: Enhancing The Experience, Jeffrey Phunmongkol

Construction Management

Moraga Commons Skatepark is located in the East Bay Area, of Northern California. An affluent small town, the skatepark serves as a great outdoor space where kids can exercise and enjoy. Originally built in 2003, Moraga Skatepark has been my second home ever since I started skateboarding. Myself, along with others, have noticed specific aspects of the skatepark that are poorly designed. In addition, the park has experienced general wear and depreciation from years of use. I wanted to create a potential improvement plan that would include slight skatepark design changes and ultimately addition of park amenities to improve the …

Respirable Dust Monitoring In Construction Sites And Visualization In Building Information Modeling Using Real-Time Sensor Data, Nour Smaoui, Kyungki Kim, Omprakash Gnawali, Young-Joo Lee, Wonho Suh

Durham School of Architectural Engineering and Construction: Faculty Publications

Construction activities, involving cutting, drilling, and grinding of materials, often produce toxic respirable dust that can cause fatal diseases and illnesses. To protect workers from breathing excessive amounts of respirable dust at job sites, superintendents should continuously monitor the level of respirable dust in workspaces and make timely interventions for overexposed workers. However, current practices of respirable dust monitoring have critical drawbacks, and superintendents cannot accurately estimate workers’ exposures to respirable dust or make prompt decisions to protect the workers. Therefore, there is a need for real-time air dust monitoring that can be deployed ubiquitously at a construction site and …

The Riai Standard Form Of Contract 2017 Version:An Overview, Tony Cunningham

Other Resources

The RIAI ‘Yellow’ and ‘Blue’ Forms of Contracts have been recently amended and published as the 2017 edition. This paper supersedes an earlier paper of the same title and reviews and synopsises the provisions of the 2017 RIAI ‘Yellow’ Form of Contract and identifies the principle changes that have been made to the superseded 2012 edition.

Analyses Of Crowd-Sourced Sound Levels Of Restaurants And Bars In New York City, Gregory S. Farber, Lily M. Wang

Durham School of Architectural Engineering and Construction: Faculty Publications

For several decades, there has been a significant need to better educate the public about noise pollution. A small number of small-scale studies have focused on the sound levels of restaurants and their impact on health and hearing. There have also been an increasing number of media articles stating that eating and drinking venues are getting increasingly loud making it more difficult for people to connect with others in conversation. This study reports on an exploratory large-scale noise survey of sound levels of 2,376 restaurants and bars in New York City using a novel smart-phone application and categorized them based …

Ua1c2/1 Academic Athletic Performance Center Photos, Wku Archives

WKU Archives Collection Inventories

Images of the Academic Athletic Performance Center also called Diddle Arena.

Ua1c6/6 Dedications Photos, Wku Archives

WKU Archives Collection Inventories

Images of dedications and groundbreakings.

Investigating The State Of Play Of Geobim Across Europe, Claire Ellul, Jantien E. Stoter, Lars Harrie, M. Shariat, Avril Behan, Maria Pla

Conference papers

In both the Geographic Information (Geo) and Building Information Modelling (BIM) domains, it is widely acknowledged that the integration of data from both domains is beneficial and a crucial step in facing the multi-disciplinary challenges of our built environment. The result of this integration – which can broadly be termed GeoBIM – could answer questions such as identifying an appropriate Heating, Ventilation and Air Conditioning system for a building based on room usage, outside air temperature, solar exposure and traffic pollution or validating whether a proposed built asset meets relevant planning constraints.

Developing a coherent approach to GeoBIM integration requires …

Against The Grain: Why Is Timber Underutilised In The Irish Construction Industry Given Its Environmental Properties?, Francis Noel Duffy

Other resources

This study explores why timber is underutilised in the Irish construction industry, given its environmental properties. Defined literature discourse (framed by two timber exemplar case study buildings and themed into procurement, policy and academic sections) is analysed in pursuit of factors that meet the research question. The literature data collected is used to formulate action-based research in the form of a “Wood First” motion, subsequently passed into policy by South Dublin County Council in July 2017. The literature is also refined into questions for a two-stage, fourth-generation evaluation interview process. This process further examines the discourse of industry experts and …

Direct Strength Approach To Predict The Flexural Strength Of Cold-Formed Z-Section Purlins On Sloped Roofs, Ali Parva, Michael W. Seek

Engineering Technology Faculty Publications

In this study, the strength of cold-formed Z-section purlins is predicted considering the effects of roof slope in real roof systems. The study applies to simple span purlins with torsion restraints at support locations and at paired locations along the length of the member. A previously developed method has shown through comparisons to base tests that when the biaxial bending and torsion stresses are incorporated into the analysis, the Direct Strength Method can accurately predict the strength of a purlin. These stress distributions can deviate substantially from the constrained bending approximation typically assumed in analysis and therefore impacts the local …

0845: Winslow Terry Collection, 1984-1985, Marshall University Special Collections

Guides to Manuscript Collections

Collection consists of two items: 1) One East Huntington Bridge Blueprint Binder (281 pages) Description: One light tan binder (19 x 12 in.) containing 281 pages of blueprints for the East Huntington Bridge located over the Ohio River and connecting WV 106 to OH 775. A reprint of the "West Virginia Department of Highways Plans for Construction" (State Project No. X306-106-0.00 07). The first page is inscribed: "W.Va. Dept. of Highways Project Engineer Stan Meadows gave these prints to Winslow Terry on Nov. 14, 1985"; 2) 1 each Photograph Album containing 163 photographs (5 x 3½ in.), a flattened penny, …

Numerical Simulation Of Fault Impacts For Commercial Walk-In Freezers, Alireza Behfar, David P. Yuill

Durham School of Architectural Engineering and Construction: Faculty Publications

Refrigeration systems can undergo many faults that could negatively affect their operation and performance. This paper describes a modeling process to simulate the fault impacts on the operation of a commercial walk-in freezer using semi-empirical models. These models often require less modeling effort than full forward models and could be used in scenarios where detailed information is missing, such as in field-measured systems. An important characteristic of a typical walk-in refrigeration system is the existence of a liquid-line receiver after the condenser, which significantly changes the behavior of the cycle, in comparison to a receiver-less system. Component models described in …

Simultaneous Electrical And Mechanical Resonance Drive For Large Signal Amplification Of Micro Resonators, M. H. Hasan, Fadi M. Alsaleem, N. Jaber, M. A. A. Hafiz, M. I. Younis

Durham School of Architectural Engineering and Construction: Faculty Publications

Achieving large signal-noise ratio using low levels of excitation signal is key requirement for practical applications of micro and nano electromechanical resonators. In this work, we introduce the double electromechanical resonance drive concept to achieve an order-of-magnitude dynamic signal amplification in micro resonators. The concept relies on simultaneously activating the micro-resonator mechanical and electrical resonance frequencies. We report an input voltage amplification up to 15 times for a micro-resonator when its electrical resonance is tuned to match the mechanical resonance that leads to dynamic signal amplification in air (Quality factor enhancement). Furthermore, using a multi-frequency excitation technique, input voltage and …

Impact Of Owners’ Early Decisions On Project Performance And Dispute Occurrence In Public Highway Projects, Sogand Hasanzadeh, Behzad Esmaeili, Ghada M. Gad, Douglas D. Gransberg

Durham School of Architectural Engineering and Construction: Faculty Publications

Disputes are common in the construction industry and lead to unnecessary cost and schedule overruns in projects. It is commonly believed that owners’ early decisions regarding the selection of delivery methods, procurement methods, and contract types impact the frequency and severity of project disputes; however, no previous study has empirically tested this hypothesis, particularly in highway public projects. Therefore, this study empirically investigated the impact of owners’ early decisions regarding project organization (i.e., delivery methods, procurement, and contract types) on performance measures (e.g., cost and schedule growth), specifically dispute performance metrics (e.g., frequency and severity of disputes), in public highway …

Method For Radon Measurement In Residential Sewer Connections, David Yuill

Durham School of Architectural Engineering and Construction: Faculty Publications

Radon gas is the most deadly indoor air pollutant. In the US, it is responsible for over 20,000 deaths per year. Residential exposure is typically the largest portion of a person’s annual exposure, so a great deal of research has been done to understand the pathways that radon can follow to enter a house. Since radon emanates from the ground, it is present in high concentration in soil gas. Recent research on the vapor intrusion of volatile organic compounds from subsurface sources into a test house concluded that the sewer line is an important preferential pathway. Despite the potential for …

Utilizing Wearable Devices To Design Personal Thermal Comfort Model, Mostafa Rafaie, Mehari Tesfay, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

have confirmed that thermal comfort significantly depends on internal personal parameters such as metabolic rate, age, and health status. This is manifested as a difference in comfort levels between people residing under the same roof, and hence no general comprehensive comfort model satisfying everyone. Current and newly emerging advancements in state of the art wearable technology have made it possible to continuously acquired biometric information. This work proposes to access and exploit this data to build personal thermal comfort model. Relying on various supervised machine-learning methods, a personal thermal comfort model will be produced and compared to a general model …

Localized Indoor Temperature Estimation Using Smartphone And Laptop Internal Sensors, Mostafa Rafaie, Mehari Tesfay, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

This paper investigates a mechanism in which indoor air temperature can be predicted using the temperature sensor on the battery and the CPU of smartphones or laptops, where data is easily accessible and ubiquitous. As a case study, several machine-learning methods were used to build models from a laptop data and the measured surrounding air temperature. The effects of the machine learning type and input feature size (by including other parameters such as CPU processing usage and battery charge percentage) on the model accuracy were investigated. The goal is to determine a set of feature combinations that can be used …

Comfort-Based Optimal Temperature Setpoint Calculation, Andrew Holthaus, Mostafa Rafaie, Fadi Alsaleem

Durham School of Architectural Engineering and Construction: Faculty Publications

General practice in current building HVAC control is to select building temperature setpoints that comply with ASHRAE Standard 55. By meeting this standard, based on the PMV comfort model, 80% of building occupants should be satisfied with their thermal environment. However, unfortunately, this is rarely the case. One possible reason for this is the variation in occupant activity and clothing that are usually assumed default values using this standard. In this work, we present an iterative-based algorithm to solve this problem. The algorithm solves the PMV inverse model equation to determine the optimal temperature setpoint while inferring human activity level …

Sdnet2018: An Annotated Image Data Set For Non-Contact Concrete Crack Detection Using Deep Convolutional Neural Networks, Sattar Dorafshan, Robert J. Thomas, Marc Maguire

Durham School of Architectural Engineering and Construction: Faculty Publications

SDNET2018 is an annotated image data set for training, validation, and benchmarking of artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains over 56,000 images of cracked and non-cracked concrete bridge decks, walls, and pavements. The dataset includes cracks as narrow as 0.06 mm and as wide as 25 mm. The data set also includes images with a variety of obstructions, including shadows, surface roughness, scaling, edges, holes, and background debris. SDNET2018 will be useful for the continued development of concrete crack detection algorithms based on deep convolutional neural networks (DCNNs), which are a subject of continued research in …