Rule-Based Mamdani-Type Fuzzy Logic Approach to Estimate Compressive Strength of Lightweight Pumice Concrete

Beycioğlu, Ahmet; Başyiğit, Celalettin

doi:10.12693/aphyspola.128.b-424

Cited by 7 publications

(9 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This reduction leads to structural members having smaller cross-sectional area and design larger mid-span. Furthermore, earthquake behaviour of buildings is also affected positively [9,10].…”

Section: Introductionmentioning

confidence: 99%

Design of Self Compacting Lightweight Concrete Using Acidic Pumice with Different Powder Materials

Bozkurt

Taşkın

2017

Acta Phys. Pol. A

View full text Add to dashboard Cite

This paper reports an experimental study on the design of self-compacting lightweight concrete using acidic pumice with different powder materials. For this aim, nine self-compacting lightweight concretes were designed with inclusion of two different fine aggregates and different powder materials. This way, two groups of concrete were designed. First group was composed of single type of aggregate which is acidic pumice from Bitlis Region with barite powder, fly ash powder and pumice powder inclusion, while the second group was generated with river sand as a fine aggregate and acidic pumice from Bitlis Region, as a coarse aggregate with the same powder addition. In the design process, slump-flow, V-funnel and L-box tests were applied to determine the fresh properties of selfcompacting lightweight concrete. After the design, test of compressive strength, which is one of the most important parameters of concrete, was applied to all self-compacting lightweight concretes in early age. Moreover, ultrasound pulse velocity test was also performed on all concrete series at the same ages.

show abstract

Section: Introductionmentioning

confidence: 99%

Design of Self Compacting Lightweight Concrete Using Acidic Pumice with Different Powder Materials

Bozkurt

Taşkın

2017

Acta Phys. Pol. A

View full text Add to dashboard Cite

show abstract

“…The linguistic variables are important part of fuzzy logic too. The utilization of fuzzy logic in civil engineering as well as in related branches is shown in selected studies [7][8][9][10][11].…”

Section: Basic Concepts Of the Fuzzy Sets Theorymentioning

confidence: 99%

Selection of Construction Project Taking into Account Technological and Organizational Risk

Ibadov

2017

Acta Phys. Pol. A

View full text Add to dashboard Cite

During the implementation of construction projects, there is permanently a certain level of technological and organizational risk. This is due to the fact that the data on conditions for a construction project tend to have different levels of uncertainty. Even the projects of the same size and terms of implementation vary. The failure risk of individual works results from technological and organizational factors, such as, for example, the difficulty of technological execution of individual works; availability of construction materials; the difficulty of the organization of individual works; availability of qualified personnel, availability of necessary machinery and equipment in the technology, etc. These factors affect the time and the cost of construction projects. When taking into account their influence, while selecting an option for construction project, it is crucial to maintain the contractual cost and time. An example of the option selection for construction project implementation is presented in this article, including technological and organizational risk, using the fuzzy sets theory and linguistic variables.

show abstract

“…Recently, fuzzy logic has been extensively used in the fields of civil engineering applications and there are many studies available in the literature, in which different properties of concrete are modeled using fuzzy logic [10,11].…”

Section: Introductionmentioning

confidence: 99%

Usability of Fuzzy Logic Modeling for Prediction of Fresh Properties of Self-Compacting Concrete

2017

Self Cite

View full text Add to dashboard Cite

The aim of this study is to investigate the usability of fuzzy logic modelling for prediction of fresh properties of self-compacting concrete. In the modelling process, the percentage of fly ash and the percentage of granulated blast furnace slag, as replacement of cement, the percentage of micronized calcite, as replacement of total aggregate, were used as inputs. The slump flow diameter and time and also the V-funnel time were used as outputs. Results show that fuzzy logic modelling may be a useful approach to predict fresh properties of self-compacting concrete, containing fly ash, granulated blast furnace slag and micronized calcite.

show abstract

Rule-Based Mamdani-Type Fuzzy Logic Approach to Estimate Compressive Strength of Lightweight Pumice Concrete

Cited by 7 publications

References 25 publications

Design of Self Compacting Lightweight Concrete Using Acidic Pumice with Different Powder Materials

Design of Self Compacting Lightweight Concrete Using Acidic Pumice with Different Powder Materials

Selection of Construction Project Taking into Account Technological and Organizational Risk

Usability of Fuzzy Logic Modeling for Prediction of Fresh Properties of Self-Compacting Concrete

Contact Info

Product

Resources

About