CLC number: TU312
On-line Access: 2021-08-20
Received: 2020-06-28
Revision Accepted: 2020-10-18
Crosschecked: 2021-07-22
Cited: 0
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Alireza Bigdeli, Aydin Shishegaran, Mohammad Ali Naghsh, Behnam Karami, Arshia Shishegaran, Gholamreza Alizadeh. Surrogate models for the prediction of damage in reinforced concrete tunnels under internal water pressure[J]. Journal of Zhejiang University Science A,in press.Frontiers of Information Technology & Electronic Engineering,in press.https://doi.org/10.1631/jzus.A2000290 @article{title="Surrogate models for the prediction of damage in reinforced concrete tunnels under internal water pressure", %0 Journal Article TY - JOUR
内部水压作用下钢筋混凝土隧道的结构损伤预测替代模型创新点:1. 开发替代模型,例如主成分回归分析(PCR)、多元自然对数方程回归(MLnER)和基因表达编程(GEP);2. 预测RCT的受损表面百分比(PDS)、有效拉伸塑性应变(ETPS)、RCT的最大挠度以及RCT的顶部挠度. 方法:1. 开发可模拟内部水压作用下RCT性能的有限元模型,采用线性和非线性模型来预测PDS、最大ETPS、RCT的最大挠度以及RCT的顶部挠度.2. 考虑48种混凝土配合比设计,其中36种是由田口方法提出的,剩下的通过作者建议给出.输入变量包括混凝土的抗压和抗拉强度、纵向钢筋的尺寸、横向钢筋的直径和内部水压. 结论:1. 内部水压对PDS、最大ETPS、RCT最大挠度和RCT顶部挠度影响最大.2. 抗压和抗拉强度对PDS、最大ETPS、RCT最大挠度和RCT顶部挠度值有显著影响.3. GEP方法能高精度预测结构损伤、最大ETPS、RCT的最大挠度和RCT顶部挠度.4. 安全系数应被应用于GEP模型的方程以提高其可靠性,尤其是使用这些公式来预测PDS和最大ETPS时. 关键词组: Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article
Reference[1]Ababneh A, Alhassan M, Abu-Haifa M, 2020. Predicting the contribution of recycled aggregate concrete to the shear capacity of beams without transverse reinforcement using artificial neural networks. Case Studies in Construction Materials, 13:e00414. [2]Ahmadi H, Soltani A, Fahimifar A, 2007. A finite element model for the stability analysis and optimum design of pressure tunnels. Proceedings of the 1st Canada-US Rock Mechanics Symposium, p.433. [3]Amani J, Moeini R, 2012. Prediction of shear strength of reinforced concrete beams using adaptive neuro-fuzzy inference system and artificial neural network. Scientia Iranica, 19(2):242-248. [4]Bobet A, Nam SW, 2007. Stresses around pressure tunnels with semi-permeable liners. Rock Mechanics and Rock Engineering, 40(3):287-315. [5]Brekke TL, Ripley BD, 1987. Design Guidelines for Pressure Tunnels and Shafts. EPRI-AP-5273, University of California at Berkeley, CA, USA. [6]Chaboche JL, 1992. Damage induced anisotropy: on the difficulties associated with the active/passive unilateral condition. International Journal of Damage Mechanics, 1(2):148-171. [7]Chandramouli K, Srinivasa RP, Pannirselvam N, et al., 2010. Strength properties of glass fibre concrete. ARPN Journal of Engineering and Applied Sciences, 5(4):1-6. [8]Chaudhary RK, Mishra S, Chakraborty T, et al., 2019. Vulnerability analysis of tunnel linings under blast loading. International Journal of Protective Structures, 10(1):73-94. [9]Cheng ZL, Zhou WH, Ding Z, et al., 2020. Estimation of spatiotemporal response of rooted soil using a machine learning approach. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 21(6):462-477. [10]Colombo M, Martinelli P, di Prisco M, 2016. On the blast resistance of high performance tunnel segments. Materials and Structures, 49(1-2):117-131. [11]Dadashi E, Noorzad A, Shahriar K, et al., 2017. Hydro-mechanical interaction analysis of reinforced concrete lining in pressure tunnels. Tunnelling and Underground Space Technology, 69:125-132. [12]Dassault Systemes Simulia Corp, 2010. ABAQUS Analysis User’s Manual, Version 6.10. RI, Providence, USA. [13]Dorafshan S, Thomas RJ, Maguire M, 2018. Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete. Construction and Building Materials, 186:1031-1045. [14]Elshafey AA, Dawood N, Marzouk H, et al., 2013. Predicting of crack spacing for concrete by using neural networks. Engineering Failure Analysis, 31:344-359. [15]Erdem H, 2010. Prediction of the moment capacity of reinforced concrete slabs in fire using artificial neural networks. Advances in Engineering Software, 41(2):270-276. [16]Fahiminia M, Shishegaran A, 2020. Evaluation of a developed bypass viscous damper performance. Frontiers of Structural and Civil Engineering, 14(3):773-791. [17]Ferreira C, 2002. Gene expression programming in problem solving. In: Roy R, Köppen M, Ovaska S, et al. (Eds.), Soft Computing and Industry. Springer, London, UK, p.635-653. [18]Ghasemi MR, Shishegaran A, 2017. Role of slanted reinforcement on bending capacity SS beams. Vibroengineering Procedia, 11:195-199. [19]Gong JZ, Lambert MF, Simpson AR, et al., 2014. Detection of localized deterioration distributed along single pipelines by reconstructive MOC analysis. Journal of Hydraulic Engineering, 140(2):190-198. [20]Gong JZ, Stephens ML, Arbon NS, et al., 2015. On-site non-invasive condition assessment for cement mortar– lined metallic pipelines by time-domain fluid transient analysis. Structural Health Monitoring, 14(5):426-438. [21]Karakouzian M, Karami M, Nazari-Sharabian M, et al., 2019a. Flow-induced stresses and displacements in jointed concrete pipes installed by pipe jacking method. Fluids, 4(1):34. [22]Karakouzian M, Nazari-Sharabian M, Karami M, 2019b. Effect of overburden height on hydraulic fracturing of concrete-lined pressure tunnels excavated in intact rock: a numerical study. Fluids, 4(2):112. [23]Karami M, Kabiri-Samani A, Nazari-Sharabian M, et al., 2019. Investigating the effects of transient flow in concrete-lined pressure tunnels, and developing a new analytical formula for pressure wave velocity. Tunnelling and Underground Space Technology, 91:102992. [24]Kristoffersen M, Hauge KO, Børvik T, 2018. Blast loading of concrete pipes using C-4 charges. Proceedings, 2(8):428. [25]Lee J, Fenves GL, 1998. Plastic-damage model for cyclic loading of concrete structures. Journal of Engineering Mechanics, 124(8):892-900. [26]Leira BJ, 2016. First- and second-order wave-induced dynamic response of submerged floating tunnels. ASME 35th International Conference on Ocean, Offshore and Arctic Engineering, Article V003T02A042. [27]Li JB, Gong JX, Wang LC, 2009. Seismic behavior of corrosion-damaged reinforced concrete columns strengthened using combined carbon fiber-reinforced polymer and steel jacket. Construction and Building Materials, 23(7):2653-2663. [28]Lubliner J, Oliver J, Oller S, et al., 1989. A plastic-damage model for concrete. International Journal of Solids and Structures, 25(3):299-326. [29]Mandara A, Russo E, Faggiano B, et al., 2016. Analysis of fluid-structure interaction for a submerged floating tunnel. Procedia Engineering, 166:397-404. [30]Most T, Bucher C, 2007. Probabilistic analysis of concrete cracking using neural networks and random fields. Probabilistic Engineering Mechanics, 22(2):219-229. [31]Pachoud AJ, Manso PA, Schleiss AJ, 2017. Stress intensity factors for axial semi-elliptical surface cracks and embedded elliptical cracks at longitudinal butt welded joints of steel-lined pressure tunnels and shafts considering weld shape. Engineering Fracture Mechanics, 179:93-119. [32]Parvathi IS, Praveen TV, Kumar KS, 2013. Effect of rock mass quality and tunnel size on lined pressure tunnels using FEM. Journal of Rock Mechanics and Tunneling Technology, 19:1-17. [33]Pendharkar U, Chaudhary S, Nagpal AK, 2007. Neural network for bending moment in continuous composite beams considering cracking and time effects in concrete. Engineering Structures, 29(9):2069-2079. [34]Peng RD, Zhou HW, Wang HW, et al., 2012. Modeling of nano-reinforced polymer composites: microstructure effect on Young’s modulus. Computational Materials Science, 60:19-31. [35]Rabczuk T, 2013. Computational methods for fracture in brittle and quasi-brittle solids: state-of-the-art review and future perspectives. International Scholarly Research Notices, 2013:849231. [36]Rabczuk T, Belytschko T, 2004. Cracking particles: a simplified meshfree method for arbitrary evolving cracks. International Journal for Numerical Methods in Engineering, 61(13):2316-2343. [37]Rabczuk T, Belytschko T, 2006. Application of particle methods to static fracture of reinforced concrete structures. International Journal of Fracture, 137(1-4):19-49. [38]Rabczuk T, Belytschko T, 2007. A three-dimensional large deformation meshfree method for arbitrary evolving cracks. Computer Methods in Applied Mechanics and Engineering, 196(29-30):2777-2799. [39]Rabczuk T, Zi G, Bordas S, et al., 2008. A geometrically non-linear three-dimensional cohesive crack method for reinforced concrete structures. Engineering Fracture Mechanics, 75(16):4740-4758. [40]Rabczuk T, Zi G, Bordas S, et al., 2010. A simple and robust three-dimensional cracking-particle method without enrichment. Computer Methods in Applied Mechanics and Engineering, 199(37-40):2437-2455. [41]Rasul M, Hosoda A, Maekawa K, 2020. Prediction of maximum thermal crack width of RC abutments utilizing actual construction data and study on influential parameters using neural networks. Construction and Building Materials, 260:120477. [42]Remseth S, Leira BJ, Okstad KM, et al., 1999. Dynamic response and fluid/structure interaction of submerged floating tunnels. Computers & Structures, 72(4-5):659-685. [43]Schleiss AJ, 1986. Design of pervious pressure tunnels. Water Power & Dam Construction, 38(5):21-26. [44]Schleiss AJ, 1988. Design criteria applied for the lower pressure tunnel of the north fork stanislaus river hydroelectric project in California. Rock Mechanics and Rock Engineering, 21(3):161-181. [45]Schleiss AJ, 1997. Design of reinforced concrete linings of pressure tunnels and shafts. Hydropower & Dams, (3):88-94. [46]Shishegaran A, Ghasemi MR, Varaee H, 2019. Performance of a novel bent-up bars system not interacting with concrete. Frontiers of Structural and Civil Engineering, 13(6):1301-1315. [47]Shishegaran A, Khalili MR, Karami B, et al., 2020a. Computational predictions for estimating the maximum deflection of reinforced concrete panels subjected to the blast load. International Journal of Impact Engineering, 139:103527. [48]Shishegaran A, Daneshpajoh F, Taghavizade H, et al., 2020b. Developing conductive concrete containing wire rope and steel powder wastes for route deicing. Construction and Building Materials, 232:117184. [49]Shishegaran A, Karami B, Rabczuk T, et al., 2020c. Performance of fixed beam with not interacting bar. Frontiers of Structural and Civil Engineering, 14:1-19. [50]Simanjuntak TDYF, Marence M, Schleiss A, et al., 2012. Design of pressure tunnels using a finite element model. The International Journal on Hydropower & Dams, 19(5):98-105. [51]Simanjuntak TDYF, Marence M, Mynett AE, et al., 2014. Pressure tunnels in non-uniform in situ stress conditions. Tunnelling and Underground Space Technology, 42: 227-236. [52]Szczecina M, Winnicki A, 2016. Selected aspects of computer modeling of reinforced concrete structures. Archives of Civil Engineering, 62(1):51-64. [53]Tunsakul J, Jongpradist P, Soparat P, et al., 2014. Analysis of fracture propagation in a rock mass surrounding a tunnel under high internal pressure by the element-free Galerkin method. Computers and Geotechnics, 55:78-90. [54]Zhang DM, Zhang JZ, Huang HW, et al., 2020. Machine learning-based prediction of soil compression modulus with application of 1D settlement. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 21(6):430-444. [55]Zhang LM, Wang ZQ, Li HF, et al., 2008. Elastic-plastic analysis for surrounding rock of pressure tunnel with liner based on material nonlinear softening. Proceedings of the 2nd International Conference on Geotechnical Engineering for Disaster Mitigation and Rehabilitation, p.1085-1092. [56]Zhou YF, Su K, Wu HG, 2015. Hydro-mechanical interaction analysis of high pressure hydraulic tunnel. Tunnelling and Underground Space Technology, 47:28-34. Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou
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