JOURNAL ARTICLE

Effects of Orifices on the Damage Characteristics of an Arch Dam Subjected to Underwater Contact Explosion.

  • Published In: International Journal of Structural Stability & Dynamics, 2026, v. 26, n. 11. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zhao, Xiaohua; Tian, Junyan; Yuan, Han; Wang, Gaohui; Lu, Wenbo 3 of 3

Abstract

Orifices designed into an arch dam for flood discharge significantly reduce the ability of the dam to resist an explosion, especially when an explosive charge is detonated close to an orifice, and the dam may suffer considerable damage in consequence. We created a fully coupled model to represent the dynamic interactions between reservoir water, explosive, arch dam and abutments. Shock wave propagation and damage initiation and propagation were compared between arch dams with and without orifices. The effects of orifices on damage modes and the spatial distribution of damage were investigated. Damage characteristics of the top and middle orifices subjected to explosive loads were also analyzed. Results showed that the top and middle orifices designed into an arch dam have an important effect on the impact resistance of arch dams, especially when an explosive is detonated at an orifice inlet. At a certain mass of explosive, complete failure of the dam wall at the adjacent sluice piers of the top orifices can occur, and penetration failure may also occur at the middle orifice. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Structural Stability & Dynamics. 2026/05, Vol. 26, Issue 11, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2026
  • ISSN:0219-4554
  • DOI:10.1142/S0219455426500835
  • Accession Number:192347539
  • Copyright Statement:Copyright of International Journal of Structural Stability & Dynamics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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