IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i7p1122-d102844.html
   My bibliography  Save this article

Study on Dynamic Response of Novel Masonry Structures Impacted by Debris Flow

Author

Listed:
  • Peizhen Li

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
    Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China)

  • Tangzhenhao Li

    (Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China)

  • Zheng Lu

    (State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092, China
    Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China)

  • Jin Li

    (Research Institute of Structural Engineering and Disaster Reduction, Tongji University, Shanghai 200092, China)

Abstract

Debris flow is a very destructive natural disaster. This paper presents a novel masonry structure with strong resistance to debris flow—by using walls that are set with braces and filled with straw bricks. This structure was designed according to the concepts of sustainability. In order to study the dynamic response of this novel masonry structure under debris flow, finite element models of different masonry structures were established by means of LS-DYNA software. The responses of this novel structure and other traditional structures were calculated and compared when the rock of debris flow hits the center of the wall. Results showed that the out-of-plane stiffness of the impacted wall with cross braces was enhanced in this novel structure, leading to an increased resistance to the impact of debris flow more effectively. Furthermore, braces were able to stop rocks in the debris flow and dissipate the corresponding energy through deformation. These braces also improved anti-collapse capabilities, leading to an increase in the safety of people’s lives and properties. This novel structure is a response to national policies and plans, which plays an active role in promoting sustainable development of society.

Suggested Citation

  • Peizhen Li & Tangzhenhao Li & Zheng Lu & Jin Li, 2017. "Study on Dynamic Response of Novel Masonry Structures Impacted by Debris Flow," Sustainability, MDPI, vol. 9(7), pages 1-22, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1122-:d:102844
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/7/1122/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/7/1122/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cencen Niu & Qing Wang & Jianping Chen & Wen Zhang & Liming Xu & Ke Wang, 2015. "Hazard Assessment of Debris Flows in the Reservoir Region of Wudongde Hydropower Station in China," Sustainability, MDPI, vol. 7(11), pages 1-20, November.
    2. Wen Zhang & Qing Wang & Jianping Chen & Huizhong Li & Jinsheng Que & Yuanyuan Kong, 2015. "Grain-Size Analysis of Debris Flow Alluvial Fans in Panxi Area along Jinsha River, China," Sustainability, MDPI, vol. 7(11), pages 1-24, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fei Li & Yikang Liu & Jian Yang, 2022. "Durability Assessment Method of Hollow Thin-Walled Bridge Piers under Rockfall Impact Based on Damage Response Surface," Sustainability, MDPI, vol. 14(19), pages 1-24, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen Cao & Peihua Xu & Jianping Chen & Lianjing Zheng & Cencen Niu, 2016. "Hazard Assessment of Debris-Flow along the Baicha River in Heshigten Banner, Inner Mongolia, China," IJERPH, MDPI, vol. 14(1), pages 1-19, December.
    2. Guangliang Feng & Guoqing Xia & Bingrui Chen & Yaxun Xiao & Ruichen Zhou, 2019. "A Method for Rockburst Prediction in the Deep Tunnels of Hydropower Stations Based on the Monitored Microseismicity and an Optimized Probabilistic Neural Network Model," Sustainability, MDPI, vol. 11(11), pages 1-17, June.
    3. Li, Huanhuan & Xu, Beibei & Arzaghi, Ehsan & Abbassi, Rouzbeh & Chen, Diyi & Aggidis, George A. & Zhang, Jingjing & Patelli, Edoardo, 2020. "Transient safety assessment and risk mitigation of a hydroelectric generation system," Energy, Elsevier, vol. 196(C).
    4. Ciro Apollonio & Gabriella Balacco & Antonio Novelli & Eufemia Tarantino & Alberto Ferruccio Piccinni, 2016. "Land Use Change Impact on Flooding Areas: The Case Study of Cervaro Basin (Italy)," Sustainability, MDPI, vol. 8(10), pages 1-18, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:9:y:2017:i:7:p:1122-:d:102844. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.