Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm

Piqueras, Víctor Yepes; Martí, José V.; García-Segura, Tatiana

doi:10.1016/j.autcon.2014.10.013

Cited by 128 publications

(84 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Yepes et al [19] described a methodology to optimize cost and CO2 emission when designing precast concrete road bridges with a double U-shape cross-section. To this end, a hybrid glowworm swarm optimization algorithm was used to combine the synergy effect of the local search with simulated annealing and the global search with glowworm swarm optimization.…”

Section: Methodology Of Co 2 Life Cycle Assessment For Concretementioning

confidence: 99%

Analysis of CO2 Emission Characteristics of Concrete Used at Construction Sites

Kim

Chae

Kim³

et al. 2016

Sustainability

View full text Add to dashboard Cite

Abstract:As the greenhouse gas reduction goal of 37% below business-as-usual (BAU) by 2030, the construction industry is recognized as an anti-environment industry for mass consumption/mass waste; thus, members of the industry are requested to make efforts to transform it into an environment-friendly industry. Concrete, a common construction material, is known to emit large amounts of environmentally hazardous waste during the processes related to its production, construction, maintenance, and demolition. The amount of greenhouse gas (GHG) emissions by the product is specified in a ready-mixed concrete report whenever concrete is sold commercially. Hence, there have been many studies addressing the quantitative evaluation and reduction of the environmental effects of concrete. This study aims to introduce a method for assessing the amount of carbon dioxide emission from the processes of producing concrete. Moreover, we measured the quantities of CO 2 emission of about 10 under-construction projects, including office buildings, apartment buildings, and high-rise residential buildings in South Korea. Using the assessment result, we analyzed the CO 2 reduction performance of an office building in South Korea and drew conclusions about measures for reducing CO 2 emission.

show abstract

Section: Methodology Of Co 2 Life Cycle Assessment For Concretementioning

confidence: 99%

Analysis of CO2 Emission Characteristics of Concrete Used at Construction Sites

Kim

Chae

Kim³

et al. 2016

Sustainability

View full text Add to dashboard Cite

show abstract

“…Optimization methods allow for carrying-out of the decision-making of continuous criteria, where a set of valid solutions are obtained and represented on a Pareto front. Some authors carried out a single-objective optimization, in which the objectives are analyzed separately and then compared [68][69][70][71][72][73]. However, others prefer to apply a multi-objective optimization to get a Pareto set of solutions.…”

Section: Planning and Designmentioning

confidence: 99%

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

et al. 2016

Self Cite

View full text Add to dashboard Cite

Abstract:The construction of bridges has been necessary for societies since ancient times, when the communication between and within towns, cities or communities was established. Until recently, the economic factor has been the only one considered in the decision-making of any type of construction process for bridges. However, nowadays, the objective should not be just the construction of bridges, but of sustainable bridges. Economic, social and environmental factors, which form the three pillars of sustainability, have been recently added. These three factors usually have conflicting perspectives. The decision-making process allows the conversion of a judgment into a rational procedure to reach a compromise solution. The aim of this paper is to review different methods and sustainable criteria used for decision-making at each life-cycle phase of a bridge, from design to recycling or demolition. This paper examines 77 journal articles for which different methods have been used. The most used methods are briefly described. In addition, a statistical study was carried out on the Multiple Attribute Decision-making papers reviewed.

show abstract

“…The new industrialization of construction can effectively boost the supply of labor and improve production efficiency. BIM methodology could reduce carbon emissions and mitigate the effects of climate change by enhancing building energy efficiency and reducing total energy consumption [39][40][41][42][43][44]. On the other hand, it can enhance the technological level of architectural production, reduce pollution in the construction process, and improve the safety and quality of construction projects.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Characteristics and Influencing Factors of China’s Construction Industry Carbon Intensity

Du¹,

Wu²,

Wang³

et al. 2017

Pol. J. Environ. Stud.

View full text Add to dashboard Cite

Climate change continuously threatens human and ecological environments. As the extravagant greenhouse gas (GHG) emissions are not conducive to preserve the Earth's climate and temperature, many national and international entities have made commitments to minimize the carbon footprint [1]. As the largest energy consumer and carbon emitter in the world, China is facing increasing pressure on cutting its CO 2 emissions down [2][3]. In this context, the Chinese government released a mitigation action plan to reduce carbon emission intensity by 40 to 45% in 2020 based on 2005 levels [4]. Because of the massive utilization of materials Pol. J. Environ. Stud. Vol. 26, No. 6 (2017), 2507-2521 AbstractClimate change continuously threatens sustainable development. As the largest energy consumer and carbon emitter in the world, China is facing increasing pressure to cut carbon emissions. Based on Moran's index I and geographically weighted regression, this paper investigates the spatiotemporal characteristics and the dominating factors of China's province-level carbon intensity in the construction industry from 2005 to 2014, which is aimed at providing a scientific basis for government while implementing a regionaloriented carbon emissions reduction strategy. The empirical results are shown as follows. Firstly, carbon intensity in the construction industry of each province has been decreasing in the past 10 years. Secondly, provincial carbon intensity in this sector shows significant positive spatial autocorrelation characteristics and the degree of spatial clustering of carbon intensity tended to weaken in this period. Third, according to the analysis of the geographically weighted regression (GWR) model, carbon intensity is positively affected by energy intensity while the labor input and production efficiency both have negative effect. Particularly the regression coefficient of labor input is almost twice as large as the other two factors. The results reveal that there is a significant spatial disparity of these three factors in different provinces.

show abstract

Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm

Cited by 128 publications

References 41 publications

Analysis of CO2 Emission Characteristics of Concrete Used at Construction Sites

Analysis of CO2 Emission Characteristics of Concrete Used at Construction Sites

A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design

Spatiotemporal Characteristics and Influencing Factors of China’s Construction Industry Carbon Intensity

Contact Info

Product

Resources

About