• Title/Summary/Keyword: concrete strength prediction

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Field Measurement and Compensation Method of Column Shortening for SRC Columns in 37-story Residential Building (37층 초고층주상복합건물 SRC기둥의 기둥축소량 현장계측 및 보정법)

  • Song, Hwa-Cheol;Do,e Guen-Young;Cho, Hun-hee
    • Journal of the Korea Institute of Building Construction
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    • v.5 no.4 s.18
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    • pp.145-152
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    • 2005
  • Long-term axial shortening of the vertical elements of tail buildings results in differential movements between two elements and may lead to the additional moments of connection beam and slab elements, and other secondary effects, such as cracks of partitions or curtain walls. Accurate prediction of time-dependent column shortening is essential for tall buildings from both strength and serviceability aspects. The compensation method is different from reinforced concrete and SRC(Steel Reinforced Concrete) members. The SRC columns are usually compensated according to total differential shortening between two vertical elements. In this study, column shortenings of 37-story W building under construction are predicted and compensated. The SRC column shortenings are compared with the actual column shortening by field measurement and the column shortenings are reanalysed and recompensated.

Identification of a suitable ANN architecture in predicting strain in tie section of concrete deep beams

  • Mohammadhassani, Mohammad;Nezamabadi-pour, Hossein;Suhatril, Meldi;Shariati, Mahdi
    • Structural Engineering and Mechanics
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    • v.46 no.6
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    • pp.853-868
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    • 2013
  • The comparison of the effectiveness of artificial neural network (ANN) and linear regression (LR) in the prediction of strain in tie section using experimental data from eight high-strength-self-compact-concrete (HSSCC) deep beams are presented here. Prior to the aforementioned, a suitable ANN architecture was identified. The format of the network architecture was ten input parameters, two hidden layers, and one output. The feed forward back propagation neural network of eleven and ten neurons in first and second TRAINLM training function was highly accurate and generated more precise tie strain diagrams compared to classical LR. The ANN's MSE values are 90 times smaller than the LR's. The correlation coefficient value from ANN is 0.9995 which is indicative of a high level of confidence.

Mechanical Properties of Cement Mortar: Development of Structure-Property Relationships

  • Ghebrab, Tewodros Tekeste;Soroushian, Parviz
    • International Journal of Concrete Structures and Materials
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    • v.5 no.1
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    • pp.3-10
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    • 2011
  • Theoretical models for prediction of the mechanical properties of cement mortar are developed based on the morphology and interactions of cement hydration products, capillary pores and microcracks. The models account for intermolecular interactions involving the nano-scale calcium silicate hydrate (C-S-H) constituents of hydration products, and consider the effects of capillary pores as well as the microcracks within the hydrated cement paste and at the interfacial transition zone (ITZ). Cement mortar was modeled as a three-phase material composed of hydrated cement paste, fine aggregates and ITZ. The Hashin's bound model was used to predict the elastic modulus of mortar as a three-phase composite. Theoretical evaluation of fracture toughness indicated that the frictional pullout of fine aggregates makes major contribution to the fracture energy of cement mortar. Linear fracture mechanics principles were used to model the tensile strength of mortar. The predictions of theoretical models compared reasonably with empirical values.

Numerical formulation of P-I diagrams for blast damage prediction and safety assessment of RC panels

  • Mussa, Mohamed H.;Mutalib, Azrul A.;Hao, Hong
    • Structural Engineering and Mechanics
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    • v.75 no.5
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    • pp.607-620
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    • 2020
  • A numerical study is carried out to assess the dynamic response and damage level of one- and two-way reinforced concrete (RC) panels subjected to explosive loads by using finite element LS-DYNA software. The precision of the numerical models is validated with the previous experimental test. The calibrated models are used to conduct a series of parametric studies to evaluate the effects of panel wall dimensions, concrete strength, and steel reinforcement ratio on the blast-resistant capacity of the panel under various magnitudes of blast load. The results are used to develop pressure-impulse (P-I) diagrams corresponding to the damage levels defined according to UFC-3-340-02 manual. Empirical equations are proposed to easily construct the P-I diagrams of RC panels that can be efficiently used to assess its safety level against blast loads.

Strength Prediction of Exterior Beam-column Joint using 3D Strut-Tie Model (3차원 스트럿-타이 모델을 이용한 외측 보-기둥 접합부의 강도 예측)

  • Yun Young Mook;Kim Byung Hun;Lee Won Seok;Shin Hyo Jeong
    • Proceedings of the Korea Concrete Institute Conference
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    • 2005.05a
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    • pp.183-186
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    • 2005
  • The Current design procedures of ACI 318-02 and CEB-FIP for the exterior beam-column joints do not provide engineers with a clear understanding of the physical behavior of the beam-column joints. In this paper, the failure strengths of the exterior beam-column joint specimens tested to failure were evaluated using the approach implementing 3-dimensional strut-tie models, design criteria of ACI 318-02, ACI-ASCE committee 352 and Park and paulay, and softened strut-tie model approach. The analysis results obtained from the 3-dimensional strut-tie models were compared with those obtained from the other approaches, and the validity of the approach implementing 3-dimensional strut-tie models were examined.

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The simulation of hydration of Portland cement blended with chemical inert filler

  • Xiaoyong, Wang;Lee, Han-Seung
    • Proceedings of the Korea Concrete Institute Conference
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    • 2008.04a
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    • pp.1041-1044
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    • 2008
  • The addition of chemical inert filler in blended cement, such as limestone or chemical inert silica fume, will produce a physical effect on cement hydration. Due to the high surface area of inert filler in the mixtures, it provides sites for the nucleation and growth of hydration products, thus improving the hydration rate of cement compounds and consequently increasing the strength at early age. This paper proposes a model of hydration of Portland cement blended with chemical inert filler. This model considers the influence of water to cement ratio, cement particle size, cement composition and addition of chemical inert filler on hydration. The heat evolution, degree of hydration and porosity are obtained as accompanied results in hydration process. The prediction results agree well with experiment results.

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Strength Prediction of Interior Beam-column Joint using 3D Strut-Tie Model (3차원 스트럿-타이 모델을 이용한 내측 보-기둥 접합부의 강도 예측)

  • Yun, Young-Mook;Kim, Byung-Hun;Lee, Won-Seok
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.11a
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    • pp.405-408
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    • 2004
  • The current design procedures of ACI 318-02, CE3-FIP and NZS 3101 for interior beam-column joints do not provide engineers with a clear understanding of the physical behavior of beam-column joints. In this paper, the failure strengths of the interior beam-column joint specimens tested to failure were evaluated using the 3-dimensional strut-tie model approach, design criteria of ACI 318-02, ACI-ASCE committee 352 and Park and paulay, and softened strut-tie model approach. The analysis results obtained from the 3-dimensional strut-tie model approach were compared with those obtained from the other approaches, and the validity of the approach implementing a 3-dimensional strut-tie model was examined.

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Pushover Analysis of Bearing Wall System with Macroscopic Models - For Comparisons of 2D and 3D Analysis Modelling (거시적 모델을 이용한 내력벽 시스템의 Pushover 해석 - 2차원과 3차원 해석 모델링의 비교)

  • Lee, Young-Wook
    • Proceedings of the Korea Concrete Institute Conference
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    • 2006.11a
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    • pp.329-332
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    • 2006
  • To study the effect of the macroscopic TVLEM(Three Vertical Line Element Model) which is developed in 2D, a bearing wall system is selected and 2D and 3D pushover analyses are carried out. In 2D model, the participating width of a flage wall to lateral resistance is modelled based on Paulay's effective width. From the comparisons of roof displacements, 2D model which uses the effective width of flange wall has better prediction and less analysis time than 3D model which has intrinsically the full width of the flange that causes higher stiffness and strength and shorter deformation capacity than 2D model.

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Ultimate axial load of rectangular concrete-filled steel tubes using multiple ANN activation functions

  • Lemonis, Minas E.;Daramara, Angeliki G.;Georgiadou, Alexandra G.;Siorikis, Vassilis G.;Tsavdaridis, Konstantinos Daniel;Asteris, Panagiotis G.
    • Steel and Composite Structures
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    • v.42 no.4
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    • pp.459-475
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    • 2022
  • In this paper a model for the prediction of the ultimate axial compressive capacity of square and rectangular Concrete Filled Steel Tubes, based on an Artificial Neural Network modeling procedure is presented. The model is trained and tested using an experimental database, compiled for this reason from the literature that amounts to 1193 specimens, including long, thin-walled and high-strength ones. The proposed model was selected as the optimum from a plethora of alternatives, employing different activation functions in the context of Artificial Neural Network technique. The performance of the developed model was compared against existing methodologies from design codes and from proposals in the literature, employing several performance indices. It was found that the proposed model achieves remarkably improved predictions of the ultimate axial load.

Experimental study on creep and shrinkage of high-performance ultra lightweight cement composite of 60MPa

  • Chia, Kok-Seng;Liu, Xuemei;Liew, Jat-Yuen Richard;Zhang, Min-Hong
    • Structural Engineering and Mechanics
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    • v.50 no.5
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    • pp.635-652
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    • 2014
  • Creep and shrinkage behaviour of an ultra lightweight cement composite (ULCC) up to 450 days was evaluated in comparison with those of a normal weight aggregate concrete (NWAC) and a lightweight aggregate concrete (LWAC) with similar 28-day compressive strength. The ULCC is characterized by low density < 1500 $kg/m^3$ and high compressive strength about 60 MPa. Autogenous shrinkage increased rapidly in the ULCC at early-age and almost 95% occurred prior to the start of creep test at 28 days. Hence, majority of shrinkage of the ULCC during creep test was drying shrinkage. Total shrinkage of the ULCC during the 450-day creep test was the lowest compared to the NWAC and LWAC. However, corresponding total creep in the ULCC was the highest with high proportion attributed to basic creep (${\geq}$ ~90%) and limited drying creep. The high creep of the ULCC is likely due to its low elastic modulus. Specific creep of the ULCC was similar to that of the NWAC, but more than 80% higher than the LWAC. Creep coefficient of the ULCC was about 47% lower than that of the NWAC but about 18% higher than that of the LWAC. Among five creep models evaluated which tend to over-estimate the creep coefficient of the ULCC, EC2 model gives acceptable prediction within +25% deviations. The EC2 model may be used as a first approximate for the creep of ULCC in the designs of steel-concrete composites or sandwich structures in the absence of other relevant creep data.