Material Problems in Civil Engineering: Ideas-Driving Forces-Research Arena

Czarnecki, Lech; Hager, Izabela; Tracz, Tomasz

doi:10.1016/j.proeng.2015.06.110

Cited by 8 publications

(3 citation statements)

References 44 publications

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“…Since the properties of concrete are shaped from the moment of mixing in a process influenced by many factors, assessment of its quality (parameters) can be carried out at different times: during production, during delivery and before/after construction, and importantly, quality assessment can be performed by different participants of the investment process: the producer, the contractor, and the investor. Achieving the desired quality of concrete involves not only conformity assurance, but also appropriate design of concrete mix and selection of suitable ingredients [ 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 ], proper manufacturing [ 22 , 23 , 24 ], development of innovative research methods that aid concrete design aimed at obtaining appropriate properties and durability [ 25 , 26 , 27 ] and development of methods for analysing obtained assessment results both during production and in existing constructions [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

et al. 2020

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Control of technical parameters obtained by ready-mixed concrete may be carried out at different stages of the development of concrete properties and by different participants involved in the construction investment process. According to the European Standard EN 206 “Concrete–Specification, performance, production and conformity”, mandatory control of concrete conformity is conducted by the producer during production. As shown by the subject literature, statistical criteria set out in the standard, including the method for concrete quality assessment based on the concept of concrete family, continue to evoke discussions and raise doubts. This justifies seeking alternative methods for concrete quality assessment. This paper presents a novel approach to quality control and classification of concrete based on combining statistical and fuzzy theories as a means of representation of two types of uncertainty: random uncertainty and information uncertainty. In concrete production, a typical situation when fuzzy uncertainty can be taken into consideration is the conformity control of concrete compressive strength, which is conducted to confirm the declared concrete class. The proposed procedure for quality assessment of a concrete batch is based on defining the membership function for the considered concrete classes and establishing the degree of belonging to the considered concrete class. It was found that concrete classification set out by the standard includes too many concrete classes of overlapping probability density distributions, and the proposed solution was to limit the scope of compressive strength to every second class so as to ensure the efficacy of conformity assessment conducted for concrete classes and concrete families. The proposed procedures can lead to two types of decisions: non-fuzzy (crisp) or fuzzy, which point out to possible solutions and their corresponding preferences. The suggested procedure for quality assessment allows to classify a concrete batch in a fuzzy way with the degree of certainty less than or equal to 1. The results obtained confirm the possibility of employing the proposed method for quality assessment in the production process of ready-mixed concrete.

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Section: Introductionmentioning

confidence: 99%

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

et al. 2020

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“…This means permanently seeking true solutions [2] -the relationship between the two corresponding models [3]: the material model (material model is used here to represent materials, analyses and geometries) and the usability model, which combines properties and requirements (Fig. 1).…”

Section: Defining Building Performancementioning

confidence: 99%

Scientific basis and rules of thumb in civil engineering: conflict or harmony?

Czarnecki

Gemert

2016

Bulletin of the Polish Academy of Sciences Technical Sciences

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Abstract. Science and engineering intermingle in the area of construction. Engineering works, often of great dimensions and design life cycle of many decades, have to be designed on a scientific basis since the safety of hundreds of users depends on their design. The task of scientific institutions is to define the construction performance within categories that correspond to the contemporary level of knowledge and technology. A construction appraiser who speaks out in a way that ensures unquestionable competence about the performance of elements and buildings (existing and under construction), should be convinced of the scientific basis of his opinions. A comparison of construction sections vs. basic requirements presents an archetype of the science of construction. A matrix of the science of construction reveals its multi-faceted nature; if related to time -the issue of durability has to be considered, and if related to the scale -the complexity. Defining the construction performance in terms of technical features is a constant search for a relationship between the material model and the usability model of a building. The construction industry uses a lot of "rules of thumb", more than any other sector of technology. In the era of computer-aided design, CAD, and building information modelling (BIM), those rules of thumb remain invaluable verification tools.Key words: building performance, appraiser, matrix of the science of construction, rules of thumb, durability, complexity, diversified development. Scientific basis and rules of thumb in civil engineering Defining building performanceThe primary task of universities and research institutes in the scientific discipline of construction is to continuously define building performance in a manner consistent with the current level of knowledge and technology. This means permanently seeking true solutions [2] -the relationship between the two corresponding models [3]: the material model (material model is used here to represent materials, analyses and geometries) and the usability model, which combines properties and requirements (Fig. 1).

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“…For instance, annual concrete production worldwide requires 20 billion tons of aggregate, 1.5 billion tons of cement, and 0.8 billion tons of water [1]. With respect to the principles of sustainable construction, ready-mixed concrete production plants should apply the following practices [2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]  reducing the use of natural resources and energy consumption,  reclaiming and reusing materials (recycling),  using energy from natural resources and renewable sources.…”

Section: Introductionmentioning

confidence: 99%

Impact of Water Quality on Concrete Mix and Hardened Concrete Parameters

Kokoszka

2019

Civil and Environmental Engineering Reports

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The subject of the present article is the evaluation of the use of different water types in the production of concrete mix and C20/25 class concrete (assuming the same composition). Taking as an example a selected Subcarpathia-based concrete production plant, equipped with a process water management system, the research analysed the quantity-quality parameters of drinking water, sewage water, and groundwater and evaluated them for their accordance with mixing-water quality standards. It should be emphasised that the majority of specifications recommend the use of drinking water for concrete production. The paper presents the results of research which analysed the impact of water quality on selected properties of concrete mix and concrete (consistency; compressive strength after 7, 14, and 28 days; density). The results obtained confirmed the findings of the research on the suitability of recycled water for concrete production.

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Material Problems in Civil Engineering: Ideas-Driving Forces-Research Arena

Cited by 8 publications

References 44 publications

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

A Proposal of a Method for Ready-Mixed Concrete Quality Assessment Based on Statistical-Fuzzy Approach

Scientific basis and rules of thumb in civil engineering: conflict or harmony?

Impact of Water Quality on Concrete Mix and Hardened Concrete Parameters

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