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Research Papers: Multiphase Flows

Simulation Modeling of the Combined Damage Caused by Cavitation and Abrasion in Sediment-Laden Liquids

[+] Author and Article Information
Wenjuan Gou

State Key Laboratory of Hydraulic Engineering
Simulation and Safety,
Tianjin University,
Tianjin 300072, China
e-mail: gwj@tju.edu.cn

Jianhua Wu

College of Water Conservancy and Hydropower
Engineering,
Hohai University,
Nanjing 210098, China
e-mail: jhwu@hhu.edu.cn

Hui Zhang

Key Laboratory of Water Conservancy and
Water Resources of Anhui Province,
Anhui & Huaihe River Institute of Hydraulic
Research,
Bengbu 233000, China
e-mail: 2506261819@qq.com

Jijian Lian

State Key Laboratory of Hydraulic Engineering
Simulation and Safety,
Tianjin University,
Tianjin 300072, China
e-mail: jjlian@tju.edu.cn

1Corresponding author.

Contributed by the Fluids Engineering Division of ASME for publication in the JOURNAL OF FLUIDS ENGINEERING. Manuscript received January 6, 2018; final manuscript received April 11, 2018; published online May 18, 2018. Assoc. Editor: Matevz Dular.

J. Fluids Eng 140(11), 111302 (May 18, 2018) (9 pages) Paper No: FE-18-1015; doi: 10.1115/1.4040066 History: Received January 06, 2018; Revised April 11, 2018

Combined damage caused by cavitation and abrasion is a serious problem concerning hydraulic structures and machinery operating in hyper-concentrated sediment-laden rivers. Conceptualization of a model for simulation and assessment of the combined damage, therefore, becomes necessary. Experimental results demonstrate that sediments cast a strong influence on the combined damage caused by cavitation and abrasion. Sediments with size larger compared to a critical size tend to aggravate the combined damage, while sediments with size smaller compared to critical relieve the combined damage effect when compared against cavitation-only damage. Based on these results, a new model has been proposed and built in order to predict the combined damage and assess the range of sediments that relieve or aggravate the damage as sediments pass through the structure and machinery. The model represents an integral with damage as the integrand and sediments representing the domain of integration, and was built in three steps—the first step establishes a relationship between damage and sediments of a single size (SS model); the second step establishes a relationship between damage and sediments from an actual river (MS model); and the third step proposes a standard to assess the damaging effect on hydro machinery (CS model). Model parameters were verified using 74 cases of laboratory experiments. By comparing simulation results against experimental data, it has been inferred that the proposed model can be employed to study practical problems in a predictive manner and promote safe operation of reservoirs by predicting damage characteristics of river water.

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Figures

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Fig. 1

Schematic of test apparatus

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Fig. 2

Relationship between mass loss and particle sizes and concentrations after 260 min

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Fig. 3

Scanning electron microscope photographs of specimen surface in pure water (b) and liquids mixed with sediments of size smaller (a) and larger (c) compared to the critical size with same concentration

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Fig. 4

Schematic of the MS model: (a) particle-size distribution and (b) relationship between damage and particle size

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Fig. 5

Comparison of experimental data (WLE) against numerical results (WLSI) simulated using Eqs. (5) and (6)

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Fig. 6

Comparison of experimental data (WLE) against numerical results (WLSII) simulated using Eqs. (9) and (10)

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Fig. 7

Comparison of experimental data (WLE) against numerical results (WLSIII) simulated using Eqs. (11) and (12)

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Fig. 8

Comparison of experimental results (WLE) against numerical results (WLM(2)) simulated using Eq. (14)

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Fig. 9

Comparison of experimental results (WLE) against numerical results (WLMI) simulated using Eqs. (6) and (16)

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Fig. 10

Comparison of experimental results (WLE) against numerical results (WLMII) simulated using Eqs. (9) and (16)

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Fig. 11

Comparison of experimental results (WLE) against numerical results (WLMIII) simulated using Eqs. (11) and (16)

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Fig. 12

Comparison of experimental results (CSE) against numerical results (CSI) simulated using Eq. (18) combined with Eq. (6)

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Fig. 13

Comparison of experimental results (CSE) against numerical results (CSII) simulated using Eq. (18) combined with Eq. (9)

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Fig. 14

Comparison of experimental results (CSE) against numerical results (CSIII) simulated using Eq. (18) combined with Eq. (11)

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