Experimental Validation of Mander’s Model for Low Strength Confined Concrete Under Axial Compression

Ali, Mujahid; Abbas, Sheraz; Khan, Muhammad Imran; Gad, Mahmoud Anwar; Ammad, Syed; Khan, Arshad

doi:10.1109/ieeeconf51154.2020.9319950

Cited by 20 publications

(9 citation statements)

References 20 publications

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“…The generalization of the established model suggests that the problem of model over-fit has been minimized and reduced on a broad scale. It is also worth noting that the quantity of data points needed for forecasting is eminently reliant on the efficiency and applicability of produced models [ 103 , 104 , 105 ]. So far, 828 data points have been added into the assembled database for forecasting f ′ cc , which is another fascinating part of this work; as a result, high precision with few discrepancies has been obtained.…”

Section: Resultsmentioning

confidence: 99%

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming

et al. 2021

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This study provides the application of a machine learning-based algorithm approach names “Multi Expression Programming” (MEP) to forecast the compressive strength of carbon fiber-reinforced polymer (CFRP) confined concrete. The suggested computational Multiphysics model is based on previously reported experimental results. However, critical parameters comprise both the geometrical and mechanical properties, including the height and diameter of the specimen, the modulus of elasticity of CFRP, unconfined strength of concrete, and CFRP overall layer thickness. A detailed statistical analysis is done to evaluate the model performance. Then the validation of the soft computational model is made by drawing a comparison with experimental results and other external validation criteria. Moreover, the results and predictions of the presented soft computing model are verified by incorporating a parametric analysis, and the reliability of the model is compared with available models in the literature by an experimental versus theoretical comparison. Based on the findings, the valuation and performance of the proposed model is assessed with other strength models provided in the literature using the collated database. Thus the proposed model outperformed other existing models in term of accuracy and predictability. Both parametric and statistical analysis demonstrate that the proposed model is well trained to efficiently forecast strength of CFRP wrapped structural members. The presented study will promote its utilization in rehabilitation and retrofitting and contribute towards sustainable construction material.

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Section: Resultsmentioning

confidence: 99%

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming

et al. 2021

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“…The cylinder’s average strength for 7 and 28 days was found to be 2271 psi and 2978 psi, respectively. The recent studies found that the maximum (99.9%) CS can be achieved at 28 days of curing for the NSC and LSC; therefore, the scope of the study was limited to 28 days [ 39 ]. Meanwhile, the cylinder strength for the 2000 psi by using a concrete mix ratio was 1:2.92:3.28 by weight, and 0.66 w/c ratios are shown in Table 7 .…”

Section: Methodsmentioning

confidence: 99%

“…[ 38 ] suggested that most of the 2005 earthquake failure was due to low quality and concrete strength. In underdeveloped countries (Pakistan), local concrete construction methods are typical for lower strength than ACI-318-014 design standard, mainly due to less machine use, inadequate inspection, lack of skilled labor, and lack of knowledge and awareness [ 4 , 39 ]. The outcome of low concrete construction can be seen in the 2005 earthquake, which damaged structures such as 6300 educational institutes, 796 health units, and 600,000 houses in which a relatively average percentage was prefabricated reinforced concrete structures.…”

Section: Introductionmentioning

confidence: 99%

Investigating Optimal Confinement Behaviour of Low-Strength Concrete through Quantitative and Analytical Approaches

et al. 2021

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Reinforced concrete is used worldwide in the construction industry. In past eras, extensive research has been conducted and has clearly shown the performance of stress–strain behaviour and ductility design for high-, standard-, and normal-strength concrete (NSC) in axial compression. Limited research has been conducted on the experimental and analytical investigation of low-strength concrete (LSC) confinement behaviour under axial compression and relative ductility. Meanwhile, analytical equations are not investigated experimentally for the confinement behaviour of LSC by transverse reinforcement. The current study experimentally investigates the concrete confinement behaviour under axial compression and relative ductility of NSC and LSC using volumetric transverse reinforcement (VTR), and comparison with several analytical models such as Mender, Kent, and Park, and Saatcioglu. In this study, a total of 44 reinforced-column specimens at a length of 18 in with a cross-section of 7 in × 7 in were used for uniaxial monotonic loading of NSC and LSC. Three columns of each set were confined with 2 in, 4 in, 6 in, and 8 in c/c lateral ties spacing. The experimental results show that the central concrete stresses are significantly affected by decreasing the spacing between the transverse steel. In the case of the LSC, the core stresses are double the central stress of NSC. However, increasing the VTR, the capacity and the ductility of NSC and LSC increases. Reducing the spacing between the ties from 8 in to 2 in center to center can affect the concrete column’s strength by 60% in LSC, but 25% in the NSC. The VTR and the spacing between the ties greatly affected the LSC compared to NSC. It was found that the relative ductility of the confined column samples was almost twice that of the unrestrained column samples. Regarding different models, the Menders model best represents the performance before the ultimate strength, whereas Kent and Park represents post-peak behaviour.

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“…The set of questions contained eight subscales for health parameters and has been adopted by more than 11 countries [31]. As suggested by [46,47], physical health is defined by the eight subscales, which are measured in categories such as physical functioning (PF), limitations on role functioning due to physical health (RP), bodily pain (BP), and general health (GH) as shown in Figure 2. Meanwhile, limitations on role functioning due to emotional problems (RE), social functioning (SF), and limitations on role functioning according to physical health (RP) are defined as social health, as shown in Figure 3.…”

Section: Data Setmentioning

confidence: 99%

Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers

Ali

Dharmowijoyo

Azevedo³

et al. 2021

Sustainability

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Using a multi-dimensional three-week household time-use and activity diary, this study aims to investigate the interaction between time-use and activity travel participation, built environment, leisure-time physical activity, travel parameters, and physical intensity on physical and social health. The relationship between time-use and activity travel participation is complex. Therefore, physical activity (PA) intensity is assumed to intermediate the relationship between endogenuous and exogenous variables. This study use a comprehensive set of data that was collected at a household level for twenty-one (21) consecutive days. A total of 732 individuals and 191 households were recorded, representing 0.029% total population of Bandung Metropolitan Area (BMA). The data analyzed with descriptive and linear regression analysis using Statistical Package for Social Sciences SPSS version 26.0.0 software (IBM: Armonk, NY, USA). An advanced model, such as the hierarchical Structural Equation Model (SEM), is used to validate the relationship between activity patterns and health parameters. The estimated results indicate that a minute increase in public transport mode has an 8.8% positive correlation with physical health and 9.0% with social health. Furthermore, an increase in the one-minute duration of in-home maintenance and out-of-home leisure activities are positively correlated by 2.9% and 3.2%, respectively, with moderate-intensity PA and by 4.5% and 1.8% strenuous-intensity PA. Additionally, high accessibility and availability of basic amenities at a walkable distance and using auxiliary time in social activities are significantly correlated with better physical and social health. Moreover, this study adopted multidisciplinary approaches for better transport policy and a healthier society with a better quality of life.

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Experimental Validation of Mander’s Model for Low Strength Confined Concrete Under Axial Compression

Cited by 20 publications

References 20 publications

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming

Forecasting Strength of CFRP Confined Concrete Using Multi Expression Programming

Investigating Optimal Confinement Behaviour of Low-Strength Concrete through Quantitative and Analytical Approaches

Time-Use and Spatio-Temporal Variables Influence on Physical Activity Intensity, Physical and Social Health of Travelers

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