Fuzzy logic model for prediction of mechanical properties of lightweight concrete exposed to high temperature

Tanyıldızı, Harun

doi:10.1016/j.matdes.2008.08.030

Cited by 56 publications

(23 citation statements)

References 19 publications

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“…After that, several applications, not limited to control, followed, e.g., automatic braking systems [9], and prediction and detection of faults in cement kilns [15]. Furthermore, the application of fuzzy logic has also presented successful results in concrete technology, e.g., prediction of cement strength [7], prediction of mechanical properties of lightweight concrete [21], simulation of cement hydration and cracking propagation in concrete [19], and prediction of concrete shrinkage [18].…”

Section: Preliminary Considerationsmentioning

confidence: 99%

Shooting-inspired fuzzy logic expert system for ready-mixed concrete plants

Silva

Štemberk

2013

Journal of Intelligent &Amp; Fuzzy Systems

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With a goal of reducing the overall production process variability of Ready-mixed concrete (RMC) and decreasing production costs, a fuzzy logic-based expert system was developed. Inspired by shooting sports, the system guides the plant chief technician by recommending the actions to be taken to reduce variability. Such guidance is based on the evaluation of the compressive strength and coefficient of variation results from the samples molded by those responsible for testing concrete. The system was tested in a RMC plant with monthly production of ≈ 3300 m 3 . The results indicate that no major interventions are necessary for the investigated plant; however, training is likely recommended for some of the staff so as to attain a lower overall variability. These conclusions are in agreement with the technician's interpretation, proving that the system is satisfactory for application in the process. Additionally, a cost analysis was performed, and the results show that a potential reduction of 5.6 % in the monthly production cost can be reached. This represents an attractive reduction since the RMC profit margin is about 8.0 %.

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Section: Preliminary Considerationsmentioning

confidence: 99%

Shooting-inspired fuzzy logic expert system for ready-mixed concrete plants

Silva

Štemberk

2013

Journal of Intelligent &Amp; Fuzzy Systems

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“…Fuzzy set theory is a good technique for development of a suitable method for concrete mix design. This theory was firstly proposed by Zadeh [9] as a natural approach to dealing with imprecision and uncertainty present in real-world applications [10,11]. Such uncertainties do not include random, probabilistic and accidental variation related to the numerical data.…”

Section: Introductionmentioning

confidence: 99%

“…Fuzzy set theory provides a regular calculus and performs numerical computation using linguistic labels stimulated by membership functions [12,13]. Mamdani [14] was the first to successfully use IF-THEN rules to automate operating control of a steam generator using a fuzzy inference system [10,15].…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy System Methodology for Concrete Mixture Design Considering Maximum Packing Density and Minimum Cement Content

2015

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Concrete mix proportioning could be referred to the process of determining the quantities of concrete ingredients using local materials to achieve specific characteristics of the concrete. Among the most important parameters affecting the performance of concrete are the packing density and the grading curve of the aggregates. Better packing of aggregates improves the strength, durability, elastic modulus and creep of the concrete. Accordingly, by increasing packing density and decreasing cement content, environment pollution will decrease. The present study proposes a fuzzybased technique for mix proportioning of normal concrete that increases packing density and decreases cement content. The proposed system utilizes four sub-fuzzy systems to quantify the target compressive strength, water-to-cement ratio, ideal grading curve and free water of the concrete. The results from the proposed fuzzy systems were compared with those obtained from the concrete mix proportioned by field experts. The comparison showed strong agreement between the results for the fuzzy and expert-proportioned mixtures. The proposed system used less cement and had a higher packing density than was found using other mixture proportioning methods.

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“…There are several studies on the potential applications (Yazıcı 2007;Tanyildizi 2009), the elemental behavior, and the characterization of PFA (Bayat 1998;Esenlik et al 2006), but data for the assessment of radiological impacts of the utilization of PFA as a main constituent in the Portland cement production are lacking. In this study, the activity concentrations of 226 Ra, 232 Th, and 40 K in the samples of PFA and Portland cement containing three percentages (15%, 20%, and 25%) by mass PFA were measured by using gamma spectrometry.…”

Section: Introductionmentioning

confidence: 99%

Assessment of the radiological impacts of utilizing coal combustion fly ash as main constituent in the production of cement

Turhan

Arıkan

Köse³

et al. 2010

Environ Monit Assess

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The purpose of this study is to assess potential radiological impacts of utilizing pulverized fly ash (PFA) as a constituent in ordinary Portland cement. For this purpose, the activity concentrations of (226)Ra, (232)Th, and (40)K in samples of PFA and Portland cement containing 15%, 20%, and 25% by mass PFA were measured using gamma-ray spectrometry with HPGe detector. The mean activity concentrations of (226)Ra, (232)Th, and (40)K were found as 366.6, 113.7, and 460.2 Bq kg( - 1), 94.2, 25.9, and 215.3 Bq kg( - 1), 113.7, 34.3, and 238.3 Bq kg( - 1), and 124.2, 41.8, and 279.3 Bq kg( - 1) for the examined samples of PFA, Portland cement with 15%, 20%, and 25% by mass PFA, respectively. Radiological parameters such as radium equivalent activity, external exposure index (activity concentration index), internal dose index (alpha index), indoor absorbed gamma dose rate, and the corresponding the annually effective dose were assessed for Portland cement samples containing three percentages (15%, 20%, and 25%) by mass PFA. The results of assessment show that all Portland cement samples are within the safe limits recommended for building materials for dwellings.

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Fuzzy logic model for prediction of mechanical properties of lightweight concrete exposed to high temperature

Cited by 56 publications

References 19 publications

Shooting-inspired fuzzy logic expert system for ready-mixed concrete plants

Shooting-inspired fuzzy logic expert system for ready-mixed concrete plants

A Fuzzy System Methodology for Concrete Mixture Design Considering Maximum Packing Density and Minimum Cement Content

Assessment of the radiological impacts of utilizing coal combustion fly ash as main constituent in the production of cement

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