一种设置地下连续墙钢筋笼吊点的新方法
PDF下载 (398)蒋昊成,徐新战,侯舟洲,严吉涛,成朝龙,曹三华,王 佩,朱 珏.一种设置地下连续墙钢筋笼吊点的新方法[J].宁波大学学报(理工版),2024,37(3):1-12.DOI:10.20098/j.cnki.1001-5132.2024.0135
JIANG Haocheng,XU Xinzhan,HOU Zhouzhou,YAN Jitao,CHENG Zhaolong,CAO Sanhua,WANG Pei,ZHU Jue.A new method for setting up hoisting point of reinforcement cage of the in-line underground diaphragm wall[J].Journal of Ningbo University(Natural Science & Engineering Edition),2024,37(3):1-12.DOI:10.20098/j.cnki.1001-5132.2024.0135
| Title: | A new method for setting up hoisting point of reinforcement cage of the in-line underground diaphragm wall |
| 作者: | 蒋昊成, 徐新战, 侯舟洲, 严吉涛, 成朝龙, 曹三华, 王 佩, 朱 珏 |
| Author(s): | JIANG Haocheng, XU Xinzhan, HOU Zhouzhou, YAN Jitao, CHENG Zhaolong, CAO Sanhua, WANG Pei, ZHU Jue |
| 关键词: | 钢筋笼吊装点; 奇异函数; 拉普拉斯变换; 遗传算法; 有限元模拟 |
| Keywords: | hoisting point for reinforcement cage; singular function; Laplace transform; genetic algorithm; finite element simulation |
| 分类号: | TU311 |
| DOI: | 10.20098/j.cnki.1001-5132.2024.0135 |
| 文献标识码: | A |
| 摘要: | 钢筋笼吊装过程中的状态可以看作是在分布荷载和集中荷载共同作用下的多支承悬挑梁, 其中支承点对应于吊点. 本文基于奇异函数和拉普拉斯变换, 求解了梁的挠度曲线方程, 并结合遗传算法, 提出了一种设置直列式钢筋笼最优吊点的新方法. 通过算例和数值模拟验证了该方法的可行性. 结果表明, 与现有的吊点确定方法相比, 该方法能更有效地控制钢筋笼在吊装过程中的变形. |
| Abstract: | The condition of the reinforcement cage during hoisting can be treated as a multi-supported overhanging beam under the combined action of distributed and concentrated loads, where the support corresponds to the hoisting point. Based on the singular function and Laplace transform, the deflection curve equation of the beam is solved, and a new method of setting the optimal lifting point of the in-line reinforcement cage is proposed in combination with the genetic algorithm. The feasibility of the method is evaluated and verified by calculation examples and numerical simulation. The results show that the proposed method can control the deformation of the reinforcement cage during hoisting more effectively than the existing method of determining the hoisting point. |
| 参考文献 /References: | [1] YANG G H. Development and new challenges of deep excavation supporting engineering in guangdong province[J]. Chinese Journal of Rock Mechanics and Engineering, 2012, 31(11):2276-2284. (in Chinese)
[2] ZHUANG H Y, YANG J, CHEN S, et al. Seismic performance of underground subway station structure considering connection modes and diaphragm wall[J]. Soil Dynamics and Earthquake Engineering, 2019, 127: 105842.
[3] TAN Y, WANG D L. Structural behaviors of large underground earth-retaining systems in Shanghai. I: unpropped circular diaphragm wall[J/OL]. Journal of Performance of Constructed Facilities, 2015, 29(2) [2023- 09-28].https://doi.org/10.1061/(ASCE)CF.1943-5509.0000521.
[4] LIU H F, LI K Z, WANG J Q, et al. Numerical simulation of deep foundation pit construction under complex site conditions[J]. Advances in Civil Engineering, 2021, 2021: 6669466.
[5] AHMAD I, TAYYAB M, ZAMAN M, et al. Finite-difference numerical simulation of dewatering system in a large deep foundation pit at taunsa barrage, Pakistan[J]. Sustainability, 2019, 11(3):694.
[6] XING H F, LIU L L, ZHANG H. Influencing factors and protection technologies of underground diaphragm wall and deep foundation pit construction on metro station[M]//ELSHAFIE M, VIGGIANI G, MAIR R. Geotechnical aspects of underground construction in soft ground. 2nd ed. London: CRC Press, 2022:710-718.
[7] YANG B Z, SHAO Q, DING K S, et al. Study on hoisting process of super deep and large reinforcement cage for diaphragm wall[J]. Industrial Construction, 2013, 43(7): 101-104. (in Chinese)
[8] WANG Z H, WEI L C, WANG S Y, et al. Study of dynamic numerical simulation and field test on the lifting process of ultra large scale diaphragm wall[J]. Construction Technology, 2016, 45(20):91-95. (in Chinese)
[9] LIU M Q, DAI B H, LIU D W. Research on hoisting method of reinforcement cage for underground continuous wall[J]. IOP Conference Series: Materials Science and Engineering, 2020, 794(1):012028.
[10] ZHOU X, FANG G X, ZHANG P, et al. Manufacturing and hoisting technology for reinforcement cage of deep foundation excavation bored piles[J]. Advanced Materials Research, 2014, 1044/1045:633-637.
[11] ZHOU J L, OH E, ZHANG X, et al. Deflection behaviour of GFRP bar reinforced concrete passive bored pile in deep excavation construction[J]. Geotechnical Engineering, 2017, 48(3):102-109.
[12] MOMENI M, RELEFORS J, KHATRY A, et al. Automated fabrication of reinforcement cages using a robotized production cell[J]. Automation in Construction, 2022, 133:103990.
[13] BAUCHAU O A, CRAIG J I. Euler-Bernoulli beam theory[M]//Structural analysis. Dordrecht: Springer, 2009: 173-221.
[14] WANG C M. Timoshenko beam-bending solutions in terms of Euler-Bernoulli solutions[J]. Journal of Engineering Mechanics, 1995, 121(6):763-765.
[15] GEORGIOU G C, OLSON L, SMYRLIS Y S. A singular function boundary integral method for the Laplace equation[J]. Communications in Numerical Methods in Engineering, 1996, 12(2):127-134.
[16] WIDDER D V. The Laplace transform (PMS-6)[M]. Princeton: Princeton University Press, 1941.
[17] MIRJALILI S. Evolutionary algorithms and neural networks: theory and applications[M]. Berlin: Springer, 2019.
[18] HOLLAND J H. Adaptation in natural and artificial systems: an introductory analysis with applications to biology, control, and artificial intelligence[M]. Cambridge, USA: MIT Press, 1992.
[19] GIDAS B, NI W M, NIRENBERG L. Symmetry and related properties via the maximum principle[J]. Communications in Mathematical Physics, 1979, 68(3): 209-243.
[20] JAZZBIN J. Geatpy: the genetic and evolutionary algorithm toolbox with high performance in python [CP/OL]. [2023-03-16]. http://www.geatpy.com/.
[21] SCHRAUDOLPH N N, BELEW R K. Dynamic parameter encoding for genetic algorithms[J]. Machine Learning, 1992, 9(1):9-21.
[22] WANG R H, ZOU Y R, ZHANG C C, et al. Combining crystal graphs and domain knowledge in machine learning to predict metal-organic frameworks performance in methane adsorption[J]. Microporous and Mesoporous Materials, 2022, 331:111666.
[23] GAO Y, MA S X, WANG T, et al. Distributed onshore wind farm siting using intelligent optimization algorithm based on spatial and temporal variability of wind energy[J]. Energy, 2022, 258:124816. |
| 备注/Memo: | 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
