Predicting long-term compressive creep of concrete using inverse analysis method

被引:27
|
作者
Ghasemzadeh, Farnam [1 ]
Manafpour, Amir [2 ]
Sajedi, Siavash [3 ]
Shekarchi, Mohammad [4 ]
Hatami, Mona [5 ]
机构
[1] Uzun Case LLC, Atlanta, GA USA
[2] Holbert Apple Associates Inc, Olney, MD USA
[3] Univ Akron, Dept Civil Engn, Akron, OH 44325 USA
[4] Univ Tehran, Dept Civil Engn, Tehran, Iran
[5] Penn State Univ, Dept Architectural Engn, State Coll, PA USA
关键词
Creep; Inverse analysis; Long-term prediction; Short-term measurements; SHRINKAGE PREDICTION; MODEL B3; JUSTIFICATION; REFINEMENTS; STATISTICS;
D O I
10.1016/j.conbuildmat.2016.06.137
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Long-term creep prediction has been a major issue of concern in designing concrete structures for some time. Many researchers have developed various models in order to predict uni-axial compressive concrete creep, however a more precise and reliable method of prediction is still required. This investigation introduces an inverse analysis (IA) method that utilizes short-term creep measurements under certain conditions to predict long-term results under the same conditions. The proposed IA method was applied to seven different prediction models and the experimental results of six specimens (from three different studies) were chosen to verify the reliability of this method. It was concluded that the IA method is able to successfully improve the accuracy of prediction and has a comprehensive range of application. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:496 / 507
页数:12
相关论文
共 50 条
  • [31] Long-term performance of concrete using additives
    Devi K.
    Saini B.
    Aggarwal P.
    International Journal of Microstructure and Materials Properties, 2020, 15 (01): : 58 - 85
  • [32] Prediction of long-term compressive strength of concrete with admixtures using hybrid swarm-based algorithms
    Huang, Lihua
    Jiang, Wei
    Wang, Yuling
    Zhu, Yirong
    Afzal, Mansour
    SMART STRUCTURES AND SYSTEMS, 2022, 29 (03) : 433 - 444
  • [33] Experiments for the long-term prediction of creep strain of expanded polystyrene under compressive stress
    Gnip, I. Y.
    Vaitkus, S.
    Kersulis, V.
    Vejelis, S.
    POLYMER TESTING, 2010, 29 (06) : 693 - 700
  • [34] Analytical description of the creep of expanded polystyrene (EPS) under long-term compressive loading
    Gnip, I. Y.
    Vaitkus, S.
    Kersulis, V.
    Vejelis, S.
    POLYMER TESTING, 2011, 30 (05) : 493 - 500
  • [35] A new tensile creep model for predicting long-term creep strengths with short-term test data for creep resistant alloys
    Qiu, Y. Y.
    Dong, Z.
    Song, X. L.
    Xiang, Z. D.
    12TH GLOBAL CONFERENCE ON MATERIALS SCIENCE AND ENGINEERING, CMSE 2023, 2024, 2680
  • [36] LONG-TERM EXTREME RESPONSE ANALYSIS OF MARINE STRUCTURES USING INVERSE SORM
    Giske, Finn-Idar G.
    Leira, Bernt Johan
    Oiseth, Ole
    PROCEEDINGS OF THE ASME 36TH INTERNATIONAL CONFERENCE ON OCEAN, OFFSHORE AND ARCTIC ENGINEERING, 2017, VOL 3A, 2017,
  • [37] Long-Term Extreme Response Analysis of Marine Structures Using Inverse SORM
    Giske, Finn-Idar G.
    Leira, Bernt Johan
    Oiseth, Ole
    JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME, 2018, 140 (05):
  • [38] Compressive strength and axial long-term deformations of high-strength concrete
    Ganeswaran, R
    MINING SCIENCE AND TECHNOLOGY, 1996, : 363 - 365
  • [39] Reliable method for predicting long-term coatings performance
    Rolli, Michael S.
    Journal of Protective Coatings and Linings, 1994, 11 (11): : 16 - 20
  • [40] Creep, shrinkage and permeation characteristics of geopolymer aggregate concrete: long-term performance
    Seneviratne, Charitha
    Gunasekara, Chamila
    Law, David W.
    Setunge, Sujeeva
    Robert, Dilan
    ARCHIVES OF CIVIL AND MECHANICAL ENGINEERING, 2020, 20 (04)