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Title: Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase

Abstract

The late rise in global concern for environmental issues such as global warming and air pollution is accentuating the need for environmental assessments in the construction industry. Promptly evaluating the environmental loads of the various design alternatives during the early stages of a construction project and adopting the most environmentally sustainable candidate is therefore of large importance. Yet, research on the early evaluation of a construction project's environmental load in order to aid the decision making process is hitherto lacking. In light of this dilemma, this study proposes a model for estimating the environmental load by employing only the most basic information accessible during the early design phases of a project for the pre-stressed concrete (PSC) beam bridge, the most common bridge structure. Firstly, a life cycle assessment (LCA) was conducted on the data from 99 bridges by integrating the bills of quantities (BOQ) with a life cycle inventory (LCI) database. The processed data was then utilized to construct a case based reasoning (CBR) model for estimating the environmental load. The accuracy of the estimation model was then validated using five test cases; the model's mean absolute error rates (MAER) for the total environmental load was calculated as 7.09%. Suchmore » test results were shown to be superior compared to those obtained from a multiple-regression based model and a slab area base-unit analysis model. Henceforth application of this model during the early stages of a project is expected to highly complement environmentally friendly designs and construction by facilitating the swift evaluation of the environmental load from multiple standpoints. - Highlights: • This study is to develop the model of assessing the environmental impacts on LCA. • Bills of quantity from completed designs of PSC Beam were linked with the LCI DB. • Previous cases were used to estimate the environmental load of new case by CBR model. • CBR model produces more accurate estimations (7.09%) than other conventional models. • This study supports decision making process in the early stage of a new construction case.« less

Authors:
; ; ;
Publication Date:
OSTI Identifier:
22688003
Resource Type:
Journal Article
Journal Name:
Environmental Impact Assessment Review
Additional Journal Information:
Journal Volume: 64; Other Information: Copyright (c) 2017 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0195-9255
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; AIR POLLUTION; CONSTRUCTION INDUSTRY; DECISION MAKING; DESIGN; ENVIRONMENTAL IMPACTS; GREENHOUSE EFFECT; LIFE CYCLE ASSESSMENT

Citation Formats

Kim, Kyong Ju, E-mail: kjkim@cau.ac.kr, Yun, Won Gun, E-mail: ogun78@naver.com, Cho, Namho, E-mail: nhc51@cau.ac.kr, and Ha, Jikwang, E-mail: wlrhkd29@gmail.com. Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase. United States: N. p., 2017. Web. doi:10.1016/J.EIAR.2017.02.003.
Kim, Kyong Ju, E-mail: kjkim@cau.ac.kr, Yun, Won Gun, E-mail: ogun78@naver.com, Cho, Namho, E-mail: nhc51@cau.ac.kr, & Ha, Jikwang, E-mail: wlrhkd29@gmail.com. Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase. United States. doi:10.1016/J.EIAR.2017.02.003.
Kim, Kyong Ju, E-mail: kjkim@cau.ac.kr, Yun, Won Gun, E-mail: ogun78@naver.com, Cho, Namho, E-mail: nhc51@cau.ac.kr, and Ha, Jikwang, E-mail: wlrhkd29@gmail.com. Mon . "Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase". United States. doi:10.1016/J.EIAR.2017.02.003.
@article{osti_22688003,
title = {Life cycle assessment based environmental impact estimation model for pre-stressed concrete beam bridge in the early design phase},
author = {Kim, Kyong Ju, E-mail: kjkim@cau.ac.kr and Yun, Won Gun, E-mail: ogun78@naver.com and Cho, Namho, E-mail: nhc51@cau.ac.kr and Ha, Jikwang, E-mail: wlrhkd29@gmail.com},
abstractNote = {The late rise in global concern for environmental issues such as global warming and air pollution is accentuating the need for environmental assessments in the construction industry. Promptly evaluating the environmental loads of the various design alternatives during the early stages of a construction project and adopting the most environmentally sustainable candidate is therefore of large importance. Yet, research on the early evaluation of a construction project's environmental load in order to aid the decision making process is hitherto lacking. In light of this dilemma, this study proposes a model for estimating the environmental load by employing only the most basic information accessible during the early design phases of a project for the pre-stressed concrete (PSC) beam bridge, the most common bridge structure. Firstly, a life cycle assessment (LCA) was conducted on the data from 99 bridges by integrating the bills of quantities (BOQ) with a life cycle inventory (LCI) database. The processed data was then utilized to construct a case based reasoning (CBR) model for estimating the environmental load. The accuracy of the estimation model was then validated using five test cases; the model's mean absolute error rates (MAER) for the total environmental load was calculated as 7.09%. Such test results were shown to be superior compared to those obtained from a multiple-regression based model and a slab area base-unit analysis model. Henceforth application of this model during the early stages of a project is expected to highly complement environmentally friendly designs and construction by facilitating the swift evaluation of the environmental load from multiple standpoints. - Highlights: • This study is to develop the model of assessing the environmental impacts on LCA. • Bills of quantity from completed designs of PSC Beam were linked with the LCI DB. • Previous cases were used to estimate the environmental load of new case by CBR model. • CBR model produces more accurate estimations (7.09%) than other conventional models. • This study supports decision making process in the early stage of a new construction case.},
doi = {10.1016/J.EIAR.2017.02.003},
journal = {Environmental Impact Assessment Review},
issn = {0195-9255},
number = ,
volume = 64,
place = {United States},
year = {2017},
month = {5}
}