Embodied Energy and Cost Optimization of RC Beam under Blast Load

Yu, Runqing; Zhang, Diandian; Yan, Huaxiang

doi:10.1155/2017/1907972

Cited by 11 publications

(4 citation statements)

References 23 publications

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“…More recently, other objectives have been considered, such as the minimization of environmental impact, and the maximization of constructability or the overall safety. These objectives can be considered individually [1][2][3] or within a multi-objective perspective [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Optimization of reinforced concrete building frames with automated grouping of columns

Boscardin

Piqueras

Kripka

2019

Automation in Construction

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In structural design, it is common practice to adopt the same cross-section dimensions for a group of elements. This procedure is mainly for practical and aesthetic reasons, as well as to reduce labour costs, but it also has a positive effect of reducing the number of variables, which simplifies the usual trial and error design process. On the other hand, the total materials cost obtained is closely related to this grouping. Based on this, the present work aims to minimize the cost of reinforced concrete plane frames considering the automated grouping of columns. To achieve this objective, an optimization software was developed by the association of matrix structural analysis, dimensioning and optimization. The sections dimensions, the area of steel and the concrete strength of beams and columns were taken as design variables. For a given maximum number of groups, the optimum grouping and the corresponding values to design variables are obtained. The strategy proposed in this paper to obtain the grouping reduces significantly the number of infeasible candidate solutions during the search process and avoid the proposition of unrealistic designs. For the optimization, a variant of the Harmony Search method was adopted. Some structures were analyzed in order to validate the application of the proposed formulation, as well as to verify the influence of the grouping of elements on the final results. In these structures, it was possible to observe a significant additional reduction in the total cost when automated grouping is performed regarding a uniform grouping, even when a small number of groups is considered. For the 20floor building frame analyzed, the cost reduction from uniform to automated grouping varied from 5.53 to 7.35%. The influence of the concrete strength on optimal results was also investigated, indicating a cost reduction of 9.74% from best (40 MPa) to worst case (20 MPa). In general, it can be concluded that, when applied in conjunction with the usual design variables, the proposed procedure can enable a significant additional economy, without affecting the structural safety.

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Section: Introductionmentioning

confidence: 99%

Optimization of reinforced concrete building frames with automated grouping of columns

Boscardin

Piqueras

Kripka

2019

Automation in Construction

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“…In the field of sustainability, Yücel et al [20] applied a generation of sustainable models with multi-objective optimization to design RC structures with a focus on minimizing the cost and CO2 emission. Yu et al [21] optimized the embodied energy and cost of RC beams under blast load. Yu et al [22] evaluated the Life cycle embodied energy analysis of RC structures considering chloride-induced corrosion in seismic regions.…”

Section: Introductionmentioning

confidence: 99%

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

Moraes

Junior²,

Almeida

et al. 2022

Rev. IBRACON Estrut. Mater.

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Among the main contributors to CO2 emissions on the ozone layer, the construction industry contributes with a significant portion. This emission is generated largely by applying concrete construction systems and their variations. Therefore, it is important to use tools that allow the development of projects which mitigate the effects of harmful gas emissions into the atmosphere. Thus, this study applied an optimization algorithm called Firefly Algorithm (FA) to design precast and prestressed rectangular beams focusing on reducing CO2 emissions in the structural design phase. The Objective Function (OF) was defined as the total weight of CO2 emitted in each construction phase (production, transportation, and placement) and the structural design constraints are based on the design criteria established in ABNT NBR 6118. The problem optimization’s variables are geometric properties and mechanical beam's conditions, where the beam height, beam width, the proportion of height generates prestressing eccentricity, and the proportion of prestressing load were considered as design variables. Ten beams were analyzed, with different loadings, where each of these beams was submitted to the optimization process thirty times. For the proposed conditions, the ten beams had an average CO2 emission of 3282.59 kg, maximum and minimum carbon emission of 3630.52 kg and 2910.67 kg, respectively. The study resulted in a feasibility rate higher than 90%, showing that the optimization tool was efficient in the structural design phase focusing on sustainability. Concerning carbon emission, it is possible to verify a relationship between the increase of emission and the load since element with greater inertia tend to emit a greater amount of CO2. It was also possible to determine a regression between carbon emission and beam load.

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“…Thanks to the proposed design method, it has provided an effective optimization of both parameters. In a similar study, it is stated that reinforced concrete structures cause environmental pollution as well as consuming resources in the world and more environmental-friendly structures can be obtained with a sustainable design [8]. Alcalá et al [9] offer an approach for embodied energy optimization of prestressed concrete slab bridge decks due to the high use of concrete in bridges as in buildings.…”

Section: Introductionmentioning

confidence: 99%

The The Effects of Structural Lightweight Concrete on Energy Performance and Life Cycle Cost in Residential Buildings

Nayır

Bahadır

Erdoğdu

et al. 2021

Period. Polytech. Civil Eng.

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Energy efficiency in the construction industry is crucial to reducing increased energy consumption. A significant portion of the energy is consumed in residential buildings. Thermal properties of the materials used in the building envelope can reduce the energy consumed in the buildings and thus contribute to the building economy. For this purpose, in the study, structural lightweight concretes (SLWC) with a lower thermal conductivity than normal weight concrete (NWC) were produced and energy efficiency and life cycle costs were compared between these concretes on a 1 + 1 reference flat. The compressive strength, unit weights and thermal conductivity coefficients of SLWCs and NWC were determined experimentally. Heating and cooling energy consumption and life cycle costs for the flat were calculated using the DesignBuilder simulation program according to the different concrete types produced. The results indicate that the thermal conductivity coefficients of all SLWCs produced were about 37–45 % lower than those of NWC. All mixes of the SLWCs provided energy saving by about 18–25 % compared to the NWC and two SLWCs reduced the life cycle cost by 4 %. In addition, the results showed that the best SLWC about energy was not the best SLWC about life cycle cost.

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Embodied Energy and Cost Optimization of RC Beam under Blast Load

Cited by 11 publications

References 23 publications

Optimization of reinforced concrete building frames with automated grouping of columns

Optimization of reinforced concrete building frames with automated grouping of columns

Optimum design of precast and prestressed beams with focus on CO2 emission reduction

The The Effects of Structural Lightweight Concrete on Energy Performance and Life Cycle Cost in Residential Buildings

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