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Chen, Shiwei
Publications (3 of 3) Show all publications
Chen, S., Lu, W., Olofsson, T., Dehghanimohammadabadi, M., Emborg, M., Nilimaa, J., . . . Kailun, F. (2020). Concrete Construction: How to Explore Environmental and Economic Sustainability in Cold Climates. Sustainability, 12(9), Article ID 3809.
Open this publication in new window or tab >>Concrete Construction: How to Explore Environmental and Economic Sustainability in Cold Climates
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2020 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 12, no 9, article id 3809Article in journal (Refereed) Published
Abstract [en]

In many cold regions around the world, such as northern China and the Nordic countries,on‐site concrete is often cured in cold weather conditions. To protect the concrete from freezing or excessively long maturation during the hardening process, contractors use curing measures. Different types of curing measures have different effects on construction duration, cost, and greenhouse gas emissions. Thus, to maximize their sustainability and financial benefits, contractors need to select the appropriate curing measures against different weather conditions. However, there is still a lack of efficient decision support tools for selecting the optimal curing measures, considering the temperature conditions and effects on construction performance. Therefore, the aim of this study was to develop a Modeling‐Automation‐Decision Support (MADS) framework and tool to help contractors select curing measures to optimize performance in terms of duration, cost, and CO2 emissions under prevailing temperatures. The developed framework combines a concrete maturity analysis (CMA) tool, a discrete event simulation (DES), and a decision support module to select the best curing measures. The CMA tool calculates the duration of concrete curing needed to reach the required strength, based on the chosen curing measures and anticipated weather conditions. The DES simulates all construction activities to provide input for the CMA and uses the CMA results to evaluate construction performance. To analyze the effectiveness of the proposed framework, a software prototype was developed and tested on a case study in Sweden. The results show that the developed framework can efficiently propose solutions that significantlyreduce curing duration and CO2 emissions.

Place, publisher, year, edition, pages
MDPI, 2020
Keywords
cold climate, discrete event simulation, concrete maturity analysis, curing measures, decision support
National Category
Other Materials Engineering Construction Management Other Civil Engineering
Research subject
Structural Engineering; Construction Management and Building Technology; Building Materials
Identifiers
urn:nbn:se:ltu:diva-78824 (URN)10.3390/su12093809 (DOI)
Note

Validerad;2020;Nivå 2;2020-05-11 (johcin)

Available from: 2020-05-08 Created: 2020-05-08 Last updated: 2020-05-11Bibliographically approved
Feng, K., Lu, W., Olofsson, T., Chen, S., Yan, H. & Wang, Y. (2018). A predictive environmental assessment method for construction operations: Application to a Northeast China case study. Sustainability, 10(11), Article ID 3868.
Open this publication in new window or tab >>A predictive environmental assessment method for construction operations: Application to a Northeast China case study
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2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 11, article id 3868Article in journal (Refereed) Published
Abstract [en]

Construction accounts for a considerable number of environmental impacts, especially in countries with rapid urbanization. A predictive environmental assessment method enables a comparison of alternatives in construction operations to mitigate these environmental impacts. Process-based life cycle assessment (pLCA), which is the most widely applied environmental assessment method, requires lots of detailed process information to evaluate. However, a construction project usually operates in uncertain and dynamic project environments, and capturing such process information represents a critical challenge for pLCA. Discrete event simulation (DES) provides an opportunity to include uncertainty and capture the dynamic environments of construction operations. This study proposes a predictive assessment method that integrates DES and pLCA (DES-pLCA) to evaluate the environmental impact of on-site construction operations and supply chains. The DES feeds pLCA with process information that considers the uncertain and dynamic environments of construction, while pLCA guides the comprehensive procedure of environmental assessment. A DES-pLCA prototype was developed and implemented in a case study of an 18-storey building in Northeast China. The results showed that the biggest impact variations on the global warming potential (GWP), acidification potential (AP), eutrophication (EP), photochemical ozone creation potential (POCP), abiotic depletion potential (ADP), and human toxicity potential (HTP) were 5.1%, 4.1%, 4.1%, 4.7%, 0.3%, and 5.9%, respectively, due to uncertain and dynamic factors. Based on the proposed method, an average impact reduction can be achieved for these six indictors of 2.5%, 21.7%, 8.2%, 4.8%, 32.5%, and 0.9%, respectively. The method also revealed that the material wastage rate of formwork installation was the most crucial managing factor that influences global warming performance. The method can support contractors in the development and management of environmentally friendly construction operations that consider the effects of uncertainty and dynamics.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
environmental impacts, construction process simulation, process-based life cycle assessment, construction operations, supply chain
National Category
Infrastructure Engineering Construction Management
Research subject
Structural Engineering; Construction Management and Building Technology
Identifiers
urn:nbn:se:ltu:diva-71690 (URN)10.3390/su10113868 (DOI)000451531700042 ()2-s2.0-85055572047 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-21 (jochin) 

Available from: 2018-11-21 Created: 2018-11-21 Last updated: 2019-02-27Bibliographically approved
Feng, K., Lu, W., Chen, S. & Wang, Y. (2018). An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming. Sustainability, 10(11), Article ID 4207.
Open this publication in new window or tab >>An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming
2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 11, article id 4207Article in journal (Refereed) Published
Abstract [en]

Construction contractors play a vital role in reducing the environmental impacts during the construction phase. To mitigate these impacts, contractors need to develop environmentally friendly plans that have optimal equipment, materials and labour configurations. However, construction plans with optimal environment may negatively affect the project cost and duration, resulting in dilemma for contractors on adopting low impacts plans. Moreover, the enumeration method that is usually used needs to assess and compare the performances of a great deal of scenarios, which seems to be time consuming for complicated projects with numerous scenarios. This study therefore developed an integrated method to efficiently provide contractors with plans having optimal environment-cost-time performances. Discrete-event simulation (DES) and particle swarm optimisation algorithms (PSO) are integrated through an iterative loop, which remarkably reduces the efforts on optimal scenarios searching. In the integrated method, the simulation module can model the construction equipment and materials consumption; the assessment module can evaluate multi-objective performances; and the optimisation module fast converges on optimal solutions. A prototype is developed and implemented in a hotel building construction. Results show that the proposed method greatly reduced the times of simulation compared with enumeration method. It provides the contractor with a trade-off solution that can average reduce 26.9% of environmental impact, 19.7% of construction cost, and 10.2% of project duration. The method provides contractors with an efficient and practical decision support tool for environmentally friendly planning.

Place, publisher, year, edition, pages
MDPI, 2018
Keywords
construction contractor, environment-cost-time optimisation, particle swarm optimisation, discrete-event simulation, construction planning
National Category
Infrastructure Engineering Construction Management
Research subject
Construction Management and Building Technology; Structural Engineering
Identifiers
urn:nbn:se:ltu:diva-71814 (URN)10.3390/su10114207 (DOI)000451531700381 ()2-s2.0-85056598920 (Scopus ID)
Note

Validerad;2018;Nivå 2;2018-11-29 (svasva)

Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-02-27Bibliographically approved
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