Log in

Application of response surface-based finite element model in structural damage identification of concrete beams

  • Research Paper
  • Published:
Proceedings of the Indian National Science Academy Aims and scope Submit manuscript

Abstract

The emergence of finite element model modification techniques has made it possible to use numerical theoretical analysis techniques to achieve the assessment of the bearing capacity of two problems in practical engineering. Therefore, an improved scheme of finite element model based on the response surface method is proposed, which is optimized by GA algorithm and verified. The experimental results show that the mid-span deformation and strain of the beam under static load are below 5%. Under different static responses, the deformation amplitude is within the set range of concrete structure failure, and has high sensitivity. The precision of response surface equation under different static responses is above 0.99, the highest is 0.9996, which shows the good fitting accuracy of the model. The calculated results of the two optimal methods are in good agreement with the measured results, and the deviation comparison values are within 10%, the lowest is 1.1%. It can identify the concentrated parts of the concrete beam, which is basically consistent with the actual results. In summary, the improved finite element model of response surface can be used to better judge the stress status of concrete beams. Through optimization such as genetic algorithms, the damage identification rate of structures can be effectively improved, which is of great significance in practical engineering applications.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Cui, M., Wu, G., Dang, J., Chen, Z., Zhou, M.: Deep learning-based condition assessment for bridge elastomeric bearings. J. Civ. Struct. Heal. Monit. 12(2), 245–261 (2022)

    Article  Google Scholar 

  • De Risi, R.: A computational framework for finite element modeling of traveling loads on bridges in dynamic regime. Comput.-Aided. Civ. Infrastruct. Eng. 37(4), 470–484 (2022)

    Article  Google Scholar 

  • Deng, Y., Zhang, Y., Luo, X., Lytton, R.L.: Development of equivalent stationary dynamic loads for moving vehicular loads using artificial intelligence-based finite element model updating. Eng. Comput. 38(4), 2955–2974 (2022)

    Article  Google Scholar 

  • Feng, Y., Lan, C., Briseghella, B., et al.: Cable optimization of a cable-stayed bridge based on genetic algorithms and the influence matrix method. Eng. Optim. 54(1), 20–39 (2022)

    Article  Google Scholar 

  • Jawdhari, A., Peiris, A., Harik, I.: Load rating of bridge-size reinforced concrete arch culverts. Struct. Infrastruct. Eng. 18(3), 362–375 (2022)

    Article  Google Scholar 

  • Khalid, U.: Optimization of COVID-19 face mask waste fibers and silica fume as a balanced mechanical ameliorator of fat clay using response surface methodology. Environ. Sci. Pollut. Res 29(12), 17001–17016 (2022)

    Article  Google Scholar 

  • Li, X., Fu, X., Gu, L.: Research on bridge structural health assessment based on finite element analysis. Tehnički Vjesnik 27(1), 96–105 (2020)

    Google Scholar 

  • Lin, S.T.K., Lu, Y., Alamdari, M.M., Khoa, N.L.D.: Neural network based numerical model updating and verification for a short span concrete culvert bridge by incorporating Monte Carlo simulations. Struct. Eng. Mech. 81(3), 293–303 (2022)

    Google Scholar 

  • Ma, F., Li, H., Hou, S., Kang, X., Wu, G.: Defect investigation and replacement implementation of bearings for long-span continuous box girder bridges under operating high-speed railway networks: a case study. Struct. Infrastruct. Eng. 18(5), 678–693 (2022)

    Article  Google Scholar 

  • Manoj, S., Choudhury, D., Alzaylaie, M.: Value engineering using load-cell test data of barrette foundations–La Maison, Dubai. Proc. Inst. Civ. Eng-Geotech. Eng. 175(3), 340–352 (2022)

    Article  Google Scholar 

  • Naranjo-Pérez, J., Jiménez-Alonso, J.F., Pavic, A., Sáez, A.: Finite-element-model updating of civil engineering structures using a hybrid UKF-HS algorithm. Struct. Infrastruct. Eng. 17(5), 620–637 (2021)

    Article  Google Scholar 

  • Skokandić, D., Mandić, I.A.: Value of additional traffic data in the context of bridge service-life management. Struct. Infrastruct. Eng. 18(4), 456–475 (2022)

    Article  Google Scholar 

  • Song, S.T., Hu, T.F., Chiou, D.J.: Influence of riverbed scour on the performance of bridges subjected to lateral seismic loads. J. Earthquake Eng. 26(5), 2251–2282 (2022)

    Article  Google Scholar 

  • Souza Hoffman, I., Manica Lazzari, B., Campos, A., et al.: Finite element numerical simulation of a cable-stayed bridge construction through the progressive cantilever method. Struct. Concr. 23(2), 632–651 (2022)

    Article  Google Scholar 

  • Svendsen, B.T., Petersen, Ø.W., Frøseth, G.T., Rønnquist, A.: Improved finite element model updating of a full-scale steel bridge using sensitivity analysis. Struct. Infrastruct. Eng. 19(3), 315–331 (2022)

    Article  Google Scholar 

  • Tran-Ngoc, H., Khatir, S., Le-Xuan, T., De Roeck, G., Bui-Tien, T., Abdel, W.M.: Finite element model updating of a multispan bridge with a hybrid metaheuristic search algorithm using experimental data from wireless triaxial sensors. Eng. Comput. 38(3), 1865–1883 (2022)

    Article  Google Scholar 

  • Wang, H., Liu, J., Wen, G.: An efficient multi-resolution topology optimization scheme for stiffness maximization and stress minimization. Eng. Optim. 54(1), 40–60 (2022)

    Article  Google Scholar 

  • Wei, B., Wang, W.H., Wang, P., Yang, T.H., Jiang, L.Z.: Seismic responses of a high-speed railway (HSR) bridge and track simulation under longitudinal earthquakes. J. Earthquake Eng. 26(9), 4449–4470 (2022)

    Article  Google Scholar 

  • Wu, D., Liu, L.: Study on iterative modification method of parameters in the health monitoring of large-span continuous rigid frame bridges. J. Inst. Eng. (India) Ser. A 103(1), 271–281 (2022)

    Article  Google Scholar 

  • Yu, J., Jiang, L., Zhou, W., Liu, X., Lai, Z., Feng, Y.: Study on the dynamic response correction factor of a coupled high-speed train–track–bridge system under near-fault earthquakes. Mech. Based Des. Struct. Mach. 50(9), 3303–3321 (2022)

    Article  Google Scholar 

  • Zaghian, S., Martín-Pérez, B., Almansour, H.: Nonlinear finite element modeling of the impact of reinforcement corrosion on bridge piers under concentric loads. Struct. Concr. 23(1), 138–153 (2022)

    Article  Google Scholar 

  • Zhang, Z., Sun, C.: Structural damage identification via physics-guided machine learning: a methodology integrating pattern recognition with finite element model updating. Struct. Health Monit. 20(4), 1675–1688 (2021)

    Article  Google Scholar 

  • Zhu, L., Wang, Y., Zhou, G., Han, B.: Structural health monitoring on a steel-concrete composite continuous bridge during construction and vehicle load tests. Mech. Adv. Mater. Struct. 29(10), 1370–1385 (2022)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peng Weng.

Ethics declarations

Conflict of interest

The authors have no-relevant financial or non-financial interests to disclose.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Weng, P., Hui, H. & Zou, Y. Application of response surface-based finite element model in structural damage identification of concrete beams. Proc.Indian Natl. Sci. Acad. 89, 977–987 (2023). https://doi.org/10.1007/s43538-023-00212-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s43538-023-00212-7

Keywords

Navigation