Data Driven Approach To Thermal Comfort Model Design, 2018 University of Nebraska
Data Driven Approach To Thermal Comfort Model Design, Mostafa Rafaiejokandan
Architectural Engineering -- Dissertations and Student Research
Apart from the dominant environmental factors such as relative humidity, radiant, and ambient temperatures, studies have confirmed that thermal comfort significantly depends on internal personal parameters such as metabolic rate, age, and health status. This study reviews the sensitivity of the Predicted Mean Vote (PMV) thermal comfort model relative to its environmental and personal parameters of a group of people in a space. PMV model equations adapted in ASHRAE Standard 55–Thermal Environmental Conditions for Human Occupancy, are used in this investigation to conduct a parametric study by generating and analyzing multi-dimensional comfort zone plots. It has been found that ...
Clt Shearwall Dovetail Connection, 2018 California Polytechnic State University, San Luis Obispo
Clt Shearwall Dovetail Connection, Alexander Eduardo Esser, August Messano
As cross-laminated timber has become an increasingly popular construction material, its use as a shear wall element has also demanded attention. Primary obstructions to the use of CLT shear walls have been the lack of an economic connection type that does not compromise the structural integrity and has the robustness that CLT shear wall panels deserve. Dovetail connections provide a great option for the connection of CLT shear walls. With more experimentation, the optimal dovetail geometry can be further developed. The small-scale testing done in conjunction with this report proved that very deep pins and tails will result in bearing ...
Evaluation Of Hospital Soundscapes To Improve Patient And Staff Experience, 2018 University of Nebraska
Evaluation Of Hospital Soundscapes To Improve Patient And Staff Experience, Jay Bliefnick
Architectural Engineering -- Dissertations and Student Research
Hospital soundscapes can be difficult environments to assess acoustically due to the continuous activity within units. Routinely, patients perceive these soundscapes poorly when rating their hospital experience on HCAHPS (Hospital Consumer Assessment of Healthcare Providers and Systems) surveys administered after discharge. In addition, hospital staff can be negatively impacted by the acoustical environments in which they work, affecting both performance and job satisfaction. This doctoral research addressed these issues across three phases by collecting acoustical measurements within three individual hospitals, comparing results with provided patient and staff survey information, and conducting laboratory tests of hospital noise perception. In the first ...
An Investigation Of Sustainability Issue For Building Construction In North Cyprus, 2018 Eastern Mediterranean University
An Investigation Of Sustainability Issue For Building Construction In North Cyprus, Hasan Samih Kalwry M.Sc., Halil Zafer Alibaba Associate Professor
Journal of Environmental Sustainability
The action of construction it is perceived to have a significant influence on the environmental assessment. In spite of the confession that environmental issues are significant in the construction field, and is slow to alteration the conventional way to combine environmental issue as part of the decision process. With increased information and awareness about these influence, among these sustainable building construction and material issues. In this article was began with investigate these issues in the North Cyprus, a questionnaire survey was conducted to investigate the scale of awareness, learning and implementation of sustainability in practices between architect’s perception and ...
Tanzanian Cement Block, 2018 California Polytechnic State University, San Luis Obispo
Tanzanian Cement Block, Emmanuel Castano-Bonilla, Leah Holleran, Kristy Sanchez
The construction plans for a polytechnic college are being developed in the town of Same, Tanzania, Africa. This project is sponsored by the Mbesese Initiative for Sustainable Design (MISD), a non-profit that has partnered with design firms such as ARUP and KLA architects to complete the work. Considering that the site is located in rural Tanzania, material availability is limited. A local block maker produces a mechanically pressed brick that consists solely of sand, cement and water. The bricks are unconventional when compared to those made in the United States. The purpose of this study is to understand the block ...
Kind Gestures: Longtime Aci Members Shape The Career Of Younger Generations, 2018 California Polytechnic State University, San Luis Obispo
Kind Gestures: Longtime Aci Members Shape The Career Of Younger Generations, Anahid A. Behrouzi
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.
Coir Fiber Reinforced Concrete, 2018 University of Nevada, Las Vegas
Coir Fiber Reinforced Concrete, Jose De La Serna, Moses Karakouzian
AANAPISI Poster Presentations
This poster exhibits the testing and research done on general Portland Cement Concrete with the addition of coir (coconut) fibers as reinforcement. Using the fundamental constituents of cement (water, cement, fine and coarse aggregate) and processed coir fiber, concrete specimens were batched to test for compressive and flexural strengths (per appropriate ASTM standards). Cylindrical and rectangular beam specimens were subjected to loadings until failure occurred. The capacity and modes of failures of the specimens were observed. It was determined that:
• The addition of processed coir fibers decreases the overall strength of general Portland Cement Concrete. • The tested concrete’s mode ...
An Introduction To Deep Learning, 2018 California Polytechnic State University, San Luis Obispo
An Introduction To Deep Learning, Maria Pantoja, Anahid A. Behrouzi, Drazen Fabris
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.
Exploratory Study Into Sustainability Expertise In The Irish Architecture, Engineering And Construction (Aec) Sector, 2018 Dublin Institute of Technology
Exploratory Study Into Sustainability Expertise In The Irish Architecture, Engineering And Construction (Aec) Sector, Lloyd Scott, Emmanuella Asantewaa Twumasi
The Architecture, Engineering and Construction (AEC) sector is a rich environment, involving the use of expertise at various levels with much intensity and in unique situations. In the attainment of sustainable construction, construction sustainability performance is indispensable. The participants implementing sustainable construction practices are key to a sustainable construction sector. This study seeks to understand the level of sustainability expertise in the Irish AEC sector which is part of an ongoing research at the Dublin Institute of Technology, within the School of Surveying and Construction Management. The early explorative phase of this research involves getting a depth of understanding as ...
Jual Obat Aborsi Surabaya 082223456702 Jaminan Tuntas, 2018 University of California, San Francisco
Jual Obat Aborsi Surabaya 082223456702 Jaminan Tuntas, Airin Maria
Optimal Design Of Green Roofs: Mathematical Model And Experimental Evidence, 2018 University of Wisconsin-Milwaukee
Optimal Design Of Green Roofs: Mathematical Model And Experimental Evidence, Jing Hong
Theses and Dissertations
Green roofs ease the heat island effect and decrease stormwater runoff. Optimizing green roof design helps achieve these goals more efficiently. This dissertation proposes energy and mass models of green roofs and validates them through experimental evidence.
The energy and mass transfer models proposed in this dissertation can be programmed in any simulation tools, and benefits architects and engineers optimizing their green roof design. The mathematical models of green roofs were validated by the measured soil temperature and water content of the Golda Meir Library green roof.
Using energy and mass balance models, this research found the effects of the ...
An Investigation Of Daylighting Performance In Sidelit Spaces, 2018 University of Wisconsin-Milwaukee
An Investigation Of Daylighting Performance In Sidelit Spaces, Zhe Kong
Theses and Dissertations
The positive influence of daylight on people’s work and well-being has been confirmed in many studies. However, excessive daylight causes discomfort glare, which decreases work productivity, impairs occupants’ vision, and may even cause headaches. Substantial studies explored glare by correlating physical lighting measurements and subjective evaluations. With the development of High Dynamic Range (HDR) image techniques, dynamic changes of daylighting distributions can be effectively captured. Consequently, more studies paired HDR image techniques with subject evaluations to explore glare. However, studies merely relying on field measurements are not only time-consuming and labor-intensive but may also disturb occupants. To address these ...
My Catalyst, 2018 Augustana College, Rock Island Illinois
My Catalyst, Gabrielle Gambino Lyon
Celebration of Learning
Over the course of my internship and shadow program with Pepper Lawson Construction and Ziegler Cooper Architects, I was able to explore the various career paths involved in the design, construction, and civil engineering fields. My work on the construction site of a high-rise apartment building located in the heart of Houston, TX allowed me first-hand experience working and learning alongside project engineers, contractors, building developers, and the construction team.
This project was the perfect confluence of my main areas of interest: structural, mechanical, civil, and environmental engineering, as well as architecture. My daily work consisted of on-site walk throughs ...
Deep Learning For Automated Image Classification Of Seismic Damage To Built Infrastructure, 2018 California Polytechnic State University, San Luis Obispo
Deep Learning For Automated Image Classification Of Seismic Damage To Built Infrastructure, B. Patterson, G. Leone, Maria Pantoja, Anahid A. Behrouzi
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 ...
Photo Tagging Tool For Rapid And Detailed Post-Earthquake Structural Damage Identification, 2018 California Polytechnic State University, San Luis Obispo
Photo Tagging Tool For Rapid And Detailed Post-Earthquake Structural Damage Identification, Anahid A. Behrouzi, Maria Pantoja
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 ...
Seismic Performance Of Slender C-Shaped Walls Subjected To Uni- And Bi-Directional Loading, 2018 California Polytechnic State University, San Luis Obispo
Seismic Performance Of Slender C-Shaped Walls Subjected To Uni- And Bi-Directional Loading, Anahid A. Behrouzi, A. Mock, D. Lehman, L. Lowes, D. Kuchma
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 ...
Multidisciplinary Research Efforts In Post-Earthquake Civil Infrastructure Reconnaissance, 2018 California Polytechnic State University, San Luis Obispo
Multidisciplinary Research Efforts In Post-Earthquake Civil Infrastructure Reconnaissance, Jack Bergquist, Anahid A. Behrouzi
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 ...
Obat Bius Pria Dan Wanita Murah, 2018 Selected Works
Obat Bius Pria Dan Wanita Murah, Obat Bius Pria Dan Wanita Harga Obat Bius Murah
Obat Aborsi Asli - Jual Obat Aborsi Dan Penggugur Kandungan
Software Toolset To Enable Image Classification Of Earthquake Damage To Above-Ground Infrastructure, 2018 California Polytechnic State University, San Luis Obispo
Software Toolset To Enable Image Classification Of Earthquake Damage To Above-Ground Infrastructure, Anahid A. Behrouzi, Maria Pantoja
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 ...
Poly Canyon Observation Deck, 2018 California Polytechnic State University, San Luis Obispo
Poly Canyon Observation Deck, Sitora Vaxidova, Emir Kuljancic
Poly Canyon Observation Platform is a proposed CM/ARCE interdisciplinary senior project with a goal of providing an observation point/rest stop for hikers and bikers. The platform has a shaded cover and seating area overlooking Poly Canyon for a rewarding experience after a long trek out to the lookout point.