Multi-response optimization of post-fire residual compressive strength of high performance concrete

Rahim, Abdul; Sharma, Umesh Kumar; Murugesan, K.; Sharma, Anuj Kumar; Arora, P.

doi:10.1016/j.conbuildmat.2012.08.048

Cited by 54 publications

(11 citation statements)

References 28 publications

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“… Cooling rate (cooling curve): after the soaking, the furnace was switched off but was kept in closed condition for 1h before its door was opened for the specimens to be further cooled to room temperature as in [48]. The furnace temperature was recorded every half an hour for four hours during the cooling period, giving eight readings (Fig.…”

Section: Heating Schemementioning

confidence: 99%

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Compressive behavior of steel fiber reinforced recycled aggregate concrete after exposure to elevated temperatures

Chen

Yang

et al. 2014

Construction and Building Materials

193

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For sustainability considerations, the use of recycled aggregate in concrete has attracted many interests in the research community. One of the main concerns for using such concrete in buildings is its spalling in fire. This may be alleviated by adding steel fibers to form steel fiber reinforced recycled aggregate concrete (SFRAC). This paper presents an experimental investigation into the compressive properties of SFRAC cylinders after exposure to elevated temperatures, including the compressive strength, Young's modulus (stiffness), stress-strain curve and energy absorption capacity (toughness). The effects of two parameters, namely steel fiber volume content (0%，0.5%，1%，1.5%) and temperature (room temperature, 200℃， 400℃ and 600℃) on the compressive mechanical properties of concrete were investigated. The test results show that both compressive strength and stiffness of the concrete are significantly reduced after exposure to high temperatures. The addition of steel fibers is helpful in preventing spalling, and significantly improves the ductility and the cracking behavior of recycled aggregate concrete (RAC) after exposure to high temperatures, which is favorable for the application of RAC in building construction.

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Section: Heating Schemementioning

confidence: 99%

“…The furnace temperature was recorded every half an hour for four hours during the cooling period, giving eight readings (Fig. 2);  Spalling prevention measures: in previous studies (Peng et al [30]; Rahim et al [48];…”

Section: Heating Schemementioning

confidence: 99%

Compressive behavior of steel fiber reinforced recycled aggregate concrete after exposure to elevated temperatures

Chen

Yang

et al. 2014

Construction and Building Materials

193

View full text Add to dashboard Cite

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“…Jiang et al (2009) integrated a simulated regression approach, using a Monte Carlo simulation, nonlinear optimization, and trust-region methods, to determine an optimal operational region that can be used to adjust manufacturing parameters in the production environment to minimize the response variations. Rahima et al (2013) presented the results of an experimental study that was undertaken to optimize the residual compressive strength of heated highperformance concrete using the Taguchi offline method and the utility concept.…”

Section: Introductionmentioning

confidence: 99%

The incorporation of the Taguchi and the VIKOR methods to optimize multi-response problems in intuitionistic fuzzy environments

Peng¹,

Yeh²,

Lai

et al. 2015

Journal of the Chinese Institute of Engineers

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The Taguchi method is a powerful method of solving quality problems in various fields of engineering. However, this method was developed to optimize single-response processes. In many multi-response optimization problems, the important response is determined subjectively, based on knowledge or experience. However, using only exact numbers to represent this importance is problematic, because there is uncertainty and vagueness. The concept of intuitionistic fuzzy sets (IFSs) is a powerful method for characterization, using a membership function and a non-membership function. This paper proposes an efficient VIKOR method that optimizes multi-response problems in intuitionistic fuzzy environments. The importance weights of various responses are evaluated in terms of IFSs. In the proposed method, the similarity measure between IFSs is used to determine the crisp weights of the responses. This scheme eliminates the need for complicated intuitionistic fuzzy arithmetic operations and increases efficiency in solving multi-response optimization problems in intuitionistic fuzzy environments. Two case studies: plasma-enhanced chemical vapor deposition and a double-sided surface mount technology electronic assembly operation are used to demonstrate the effectiveness of the proposed method.

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“…Long et al (2012) observed the impact of material properties and mixture parameters on self-consolidating concrete. Rahim et al (2013) attempted to quantify the effect of fire-type temperatures on concrete compressive strength. Hassan and Abouhussien (2014) utilised DOE for concrete mixture optimisations for high-strength self-consolidating concrete by changing binder, water and admixture content.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the effect of construction site factors on concrete compressive strength using designed experiments

Santamaría

Valentin

Huerta

2019

IJEDPO

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Both structured and unstructured factors affect concrete compressive strength. Structured factors, e.g., raw materials, affect concrete production. Unstructured factors, e.g., local conditions, affect concrete quality during the construction phase. The effects of structured factors on concrete metrics are well understood, while there is limited understanding on the effects of unstructured factors. A full 2 5 factorial design was conducted to quantify the effect of five construction site factors including crew experience, compaction method, mixing time, curing humidity and curing temperature. A linear regression model was developed considering significant affecting factors. Model adequacy was evaluated through residual plots. The results indicate that compaction method, mixing time, curing humidity and curing temperature affect concrete compressive strength significantly, with curing temperature having the highest percent contribution (50.0%). The final regression model was used to create a decision-support tool that enables construction workers to find operating conditions and take corrective actions to preserve concrete quality.

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Multi-response optimization of post-fire residual compressive strength of high performance concrete

Cited by 54 publications

References 28 publications

Compressive behavior of steel fiber reinforced recycled aggregate concrete after exposure to elevated temperatures

Compressive behavior of steel fiber reinforced recycled aggregate concrete after exposure to elevated temperatures

The incorporation of the Taguchi and the VIKOR methods to optimize multi-response problems in intuitionistic fuzzy environments

Quantifying the effect of construction site factors on concrete compressive strength using designed experiments

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