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Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2,   Pages 311-321 doi: 10.1007/s11709-019-0593-8

Abstract: system, and nearest neighbor models based on collection of 207 laboratory tests, are investigated for compressivestrength prediction of concrete at high temperature.Technical Note standard and demonstrate the suitability of using the data driven models to predict the compressive

Keywords： data driven model     compressive strength     concrete     high temperature    

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Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 520-536 doi: 10.1007/s11709-021-0689-9

Abstract: This study aims to improve the unconfined compressive strength of soils using additives as well as byTo predict the results of unconfined compressive strength tests conducted on soils, a comprehensive laboratoryThe suggested models predicted the unconfined compressive strength of soils accurately and can be introducedresults, it is discovered that cement and lime contents impose more prominent effects on the unconfined compressive

Keywords： unconfined compressive strength     artificial neural network     support vector machine     predictive models     regression    

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Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 90-99 doi: 10.1007/s11709-016-0363-9

Abstract: Evaluating the in situ concrete compressive strength by means of cores cut from hardened concrete isacknowledged as the most ordinary method, however, it is very difficult to predict the compressive strengthestablished, trained, and tested within the Matlab programming environment for predicting the 28 days compressiveFinally, the sensitivity analysis (SA) for two different sets of parameters on the concrete compressivestrength prediction are carried out.

Keywords： concrete     28 days compressive strength     multiple linear regression     artificial neural network     ANFIS     sensitivity    

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Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: Concrete compressive strength prediction is an essential process for material design and sustainabilitycolony, ANFIS–differential evolution (DE), and ANFIS–genetic algorithm to predict the foamed concrete compressiveANFIS–PSO– (C–O) yielded the best accurate prediction of compressive strength with an MP value of 0.96

Keywords： foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

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Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 1003-1016 doi: 10.1007/s11709-022-0846-9

Abstract: These were used to predict compressive strength (Cs) of concrete relating to thirteen concrete-strengthreflected better convergence of the results and better performance compared to that of ANFIS-SCE in the predictionThus, the ANFIS-ABC model can be used for the quick and accurate estimation of compressive strength of

Keywords： shuffled complex evolution     artificial bee colony     ANFIS     concrete     compressive strength     Vietnam    

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Influence of accelerated curing on the compressive strength of polymer-modified concrete

Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 589-599 doi: 10.1007/s11709-022-0789-1

Abstract: Furthermore, in designing concrete structures, compressive strength is the most significant of all parametersWhile 3-d and 7-d compressive strength reflects the strengths at early phases, the ultimate strengthAn effort has been made in this study to develop mathematical models for predicting compressive strengthThe compressive strength of EVA-modified concrete was studied by incorporating various concentrationsAn accelerated compressive strength at 3.5 hours was considered as a reference strength on the basis

Keywords： compressive strength prediction     polymer-modified concrete     linear regression fit     early age strength    

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Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 1,   Pages 38-48 doi: 10.1007/s11709-018-0479-1

Abstract: It represents the stress-strain relationship in the elastic range and is used in the prediction of concreteIn addition, a wide range of experimental databases and empirical models to estimate the MOE from compressive

Keywords： modulus of elasticity     normal strength normal weight concrete     empirical models     design codes     compressive    

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Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

Frontiers of Structural and Civil Engineering   Pages 1310-1325 doi: 10.1007/s11709-023-0997-3

Abstract: The complex relationship between influential factors and concrete compressive strength makes the predictionand estimation of compressive strength difficult.with extreme gradient boosting (XGB) to predict the compressive strength of green concrete based onThe intelligent prediction models were assessed using the root mean square error (RMSE), coefficientThe remaining five prediction methods yield promising results.

Keywords： sustainable concrete     fly ash     slay     extreme gradient boosting technique     squirrel search algorithm     parametric analysis    

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The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 191-201 doi: 10.1007/s11709-021-0792-y

Abstract: morphology and thickness is elucidated by backscattered electron images and by consequences to the compressive

Keywords： cement fineness     interfacial transition zone     compressive and flexural strength    

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Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Frontiers of Structural and Civil Engineering   Pages 901-914 doi: 10.1007/s11709-023-0915-8

Abstract: algorithms for four stress stages are established to describe the bearing behaviors of the joint under a compressiveanalytical algorithms, a parametric investigation is conducted to discuss the factors affecting the ultimate compressive

Keywords： shield tunnel     segment joint     joint structural model     failure mechanism    

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Optimizing the compressive strength of concrete containing micro-silica, nano-silica, and polypropylene

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 821-830 doi: 10.1007/s11709-019-0518-6

Abstract: , micro-silica (MS) and polymer fibers on optimizing the mechanical properties of concrete, such as compressiveResults indicated the sensitivity of each CSCs can be different on the NS or MS in compressive strengthWhile, polymer fibers don’t have significant effect in compressive strength considering CSCs.

Keywords： mixture method     compressive strength     nano-silica     micro-silica     polypropylene fibers    

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Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 4,   Pages 1025-1037 doi: 10.1007/s11709-021-0741-9

Abstract: The understanding of compressive and tensile behaviors of polypropylene fiber-reinforced cemented pasteHowever, very limited studies have been performed to gain insight into the evolution of compressive andAdditionally, a predictive model is developed to capture the strong correlation between compressive and

Keywords： cemented paste backfill     fiber reinforcement     constitutive behavior     temperature     tailings    

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Experimental study on the compressive performance of new sandwich masonry walls

Jianzhuang XIAO, Jie PU, Yongzhong HU

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 2,   Pages 154-163 doi: 10.1007/s11709-013-0203-0

Abstract: patterns, experimental studies should be performed to investigate the mechanical behavior, especially the compressive

Keywords： sandwich wall     insulation wall     connection     compressive performance     compression test    

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Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 3,   Pages 227-237 doi: 10.1631/FITEE.1400217

Abstract: novel image fusion scheme based on gradient and scrambled block Hadamard ensemble (SBHE) sampling for compressiveFirst, source images are compressed by compressive sensing, to facilitate the transmission of the sensorBy compositing the gradient of each image, gradient-based weights are obtained, with which compressive

Keywords： Compressive sensing (CS)     Image fusion     Gradient-based image fusion     CS-based image fusion    

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Compressive behavior and microstructure of concrete mixed with natural seawater and sea sand

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 6,   Pages 1347-1357 doi: 10.1007/s11709-021-0780-2

Abstract: The compressive behavior of SSC was obtained by compressive tests and digital image correction (DIC)Results revealed a 30% decrease in compressive strength for C30 and C40 SSC from 60 to 150 d, and a lessDIC results revealed significant cracking and crushing from 80% to 100% of compressive strength.study can provide more insights into the microstructure of SSC along with its short- and long-term compressive

Keywords： seawater and sea sand concrete     compressive strength     strain field     microstructure     hydration products    

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Title Author Date Type Operation

Data driven models for compressive strength prediction of concrete at high temperatures

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Unconfined compressive strength prediction of soils stabilized using artificial neural networks and support

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

Journal Article

Multiple linear regression, artificial neural network, and fuzzy logic prediction of 28 days compressive

Faezehossadat KHADEMI,Mahmoud AKBARI,Sayed Mohammadmehdi JAMAL,Mehdi NIKOO

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Novel hybrid models of ANFIS and metaheuristic optimizations (SCE and ABC) for prediction of compressive

Dung Quang VU; Fazal E. JALAL; Mudassir IQBAL; Dam Duc NGUYEN; Duong Kien TRONG; Indra PRAKASH; Binh Thai PHAM

Journal Article

Influence of accelerated curing on the compressive strength of polymer-modified concrete

Izhar AHMAD; Kashif Ali KHAN; Tahir AHMAD; Muhammad ALAM; Muhammad Tariq BASHIR

Journal Article

Empirical models and design codes in prediction of modulus of elasticity of concrete

Behnam VAKHSHOURI, Shami NEJADI

Journal Article

Compressive strength prediction and optimization design of sustainable concrete based on squirrel search

Journal Article

The ITZ microstructure, thickness, porosity and its relation with compressive and flexural strength of

Journal Article

Analytical algorithms of compressive bending capacity of bolted circumferential joint in metro shield

Journal Article

Optimizing the compressive strength of concrete containing micro-silica, nano-silica, and polypropylene

Fatemeh ZAHIRI, Hamid ESKANDARI-NADDAF

Journal Article

Time- and temperature-dependence of compressive and tensile behaviors of polypropylene fiber-reinforced

Journal Article

Experimental study on the compressive performance of new sandwich masonry walls

Jianzhuang XIAO, Jie PU, Yongzhong HU

Journal Article

Gradient-based compressive image fusion

Yang CHEN,Zheng QIN

Journal Article

Compressive behavior and microstructure of concrete mixed with natural seawater and sea sand

Journal Article