Resource Type

Journal Article 62

Year

2023 3

2022 11

2021 9

2020 7

2019 9

2018 3

2017 4

2015 2

2014 1

2013 2

2011 1

2008 3

2007 2

2006 3

open ︾

Keywords

compressive strength 24

artificial neural network 5

concrete 4

self-compacting concrete 3

ANFIS 2

Compressive sampling 2

Compressive sensing 2

compressive 2

failure mechanism 2

fly ash 2

parametric analysis 2

support vector machine 2

28 days compressive strength 1

5-Spirals 1

bacillus subtilis 1

ASTM C666-15 1

Adaptive compressive feature 1

Block compressive sensing 1

CLSM 1

CS-based image fusion 1

open ︾

Search scope:

排序： Display mode:

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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    

HTML PDF Collect

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 compressiveTechnical 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    

HTML PDF Collect

Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 515-525 doi: 10.1007/s11709-018-0494-2

Abstract: This paper presents the effect on compressive strength and self-healing capability of bacterial concreteThe influence of this addition on compressive strength, self-healing capability of cracks is highlightedA maximum of 12% increase in compressive strength was observed with the addition of 0.5% of calcium lactateA statistical technique was applied to analyze the experimental data of the compressive strengths ofthe influence of added calcium lactate in bio-concrete which is quite impressive for improving the compressive

Keywords： calcium lactate     bacillus subtilis     compressive strength     self-healing of cracks    

HTML PDF Collect

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 990-1002 doi: 10.1007/s11709-022-0864-7

Abstract: feasibility of using the grey wolf optimizer (GWO) and artificial neural network (ANN) to predict the compressive

Keywords： artificial neural network     grey wolf optimize algorithm     compressive strength     self-compacting concrete    

HTML PDF Collect

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 2,   Pages 284-305 doi: 10.1007/s11709-022-0901-6

Abstract: Fiber-reinforced self-compacting concrete (FRSCC) is a typical construction material, and its compressive

Keywords： compressive strength     self-compacting concrete     artificial neural network     decision tree     CatBoost    

HTML PDF Collect

Investigating the influence of delamination on the stiffness of composite pipes under compressive transverse

Sattar MALEKI, Roham RAFIEE, Abolfazl HASANNIA, Mohammad Reza HABIBAGAHI

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1316-1323 doi: 10.1007/s11709-019-0555-1

Abstract: The effect of delamination on the stiffness reduction of composite pipes is studied in this research. The stiffness test of filament wound composite pipes is simulated using cohesive zone method. The modeling is accomplished to study the effect of the geometrical parameters including delamination size and its position with respect to loading direction on stiffness of the composite pipes. At first, finite element results for stiffness test of a perfect pipe without delamination are validated with the experimental results according to ASTM D2412. It is seen that the finite element results agree well with experimental results. Then the finite element model is developed for composite pips with delaminated areas with different primary shapes. Thus, the effect of the size of delaminated region on longitudinal and tangential directions and also its orientation with respect to loading direction on delamination propagation and stiffness reduction of the pipes is assessed.

Keywords： delamination     composite pipes     stiffness test     cohesive zone method    

HTML PDF Collect

ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 594-608 doi: 10.1007/s11709-017-0446-2

Abstract: Artificial neural networks have been widely used over the past two decades to successfully develop empirical models for a variety of geotechnical problems. In this paper, an empirical model based on the product-unit neural network (PUNN) is developed to predict the load-deformation behaviour of piles based SPT values of the supporting soil. Other parameters used as inputs include particle grading, pile geometry, method of installation as well as the elastic modulus of the pile material. The model is trained using full-scale pile loading tests data retrieved from FHWA deep foundations database. From the results obtained, it is observed that the proposed model gives a better simulation of pile load-deformation curves compared to the Fleming’s hyperbolic model and t-z approach.

Keywords： piles in compression     load-deformation behaviour     product-unit neural network    

HTML PDF Collect

Experimental study and numerical simulation on compressive buckling behavior of thin steel skins in unilateral

Nicholas KEAGE, Christopher MAIOLO, Rebecca PIEROTTI, Xing MA

Frontiers of Structural and Civil Engineering 2011, Volume 5, Issue 3,   Pages 335-343 doi: 10.1007/s11709-011-0121-y

Abstract: In this paper, a practical test and finite element analysis has been undertaken to further investigate the effects of contact buckling. A test rig was designed and constructed to record vertical and transverse deflections of compressively loaded steel skin plates. The boundary conditions were modeled as fully fixed. A finite element analysis was also undertaken using the software package Strand7. Results from both analyses have been examined and compared to data established from previous studies on contact buckling. Both the finite element analysis and practical results correlate well with this data. The result of the investigation has confirmed contact buckling theories and has foreshadowed the onset of the newly observed phenomenon of secondary contact buckling.

Keywords： compressive     buckling     thin steel skins     unilateral contact     rigid constraints    

HTML PDF Collect

Title Author Date Type Operation

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

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

Alireza TABARSA, Nima LATIFI, Abdolreza OSOULI, Younes BAGHERI

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

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

Mahmood AKBARI, Vahid JAFARI DELIGANI

Journal Article

Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Journal Article

A hybrid machine learning model to estimate self-compacting concrete compressive strength

Hai-Bang LY; Thuy-Anh NGUYEN; Binh Thai PHAM; May Huu NGUYEN

Journal Article

Optimization of machine learning models for predicting the compressive strength of fiber-reinforced self-compacting

Journal Article

Investigating the influence of delamination on the stiffness of composite pipes under compressive transverse

Sattar MALEKI, Roham RAFIEE, Abolfazl HASANNIA, Mohammad Reza HABIBAGAHI

Journal Article

ANN-based empirical modelling of pile behaviour under static compressive loading

Abdussamad ISMAIL

Journal Article

Experimental study and numerical simulation on compressive buckling behavior of thin steel skins in unilateral

Nicholas KEAGE, Christopher MAIOLO, Rebecca PIEROTTI, Xing MA

Journal Article