2014
DOI: 10.1061/(asce)he.1943-5584.0000849
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Genetic Programming Simulation of Dam Breach Hydrograph and Peak Outflow Discharge

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Cited by 35 publications
(7 citation statements)
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“…This slight increase in Q with increasing D50 contrasts with results of Hakimzadeh et al . [], who found a slight but consistent decrease in peak discharge as D50 was increased from 0.25 to 2 mm in dam‐breaching experiments that differed only in the choice of grain size. An inverse relationship between Qpeak and D50 was also reported by Schmocker and Hager [] for 2‐D experiments—that is, with the dam overtopped from one flume wall to the other—with constant inflow to the reservoir.…”
Section: Resultsmentioning
confidence: 89%
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“…This slight increase in Q with increasing D50 contrasts with results of Hakimzadeh et al . [], who found a slight but consistent decrease in peak discharge as D50 was increased from 0.25 to 2 mm in dam‐breaching experiments that differed only in the choice of grain size. An inverse relationship between Qpeak and D50 was also reported by Schmocker and Hager [] for 2‐D experiments—that is, with the dam overtopped from one flume wall to the other—with constant inflow to the reservoir.…”
Section: Resultsmentioning
confidence: 89%
“…In addition to our experiments reported here, two other studies have included systematic variation of dam height, and thus of initial water level: Al‐Riffai [, chapter 6] and Hakimzadeh et al . []. Al‐Riffai reported results of so‐called scale‐series breaching experiments in which dam geometry was varied systematically: In some experiments, both the length and height of the dam were scaled by a factor λ (equal to either 1/2 or 1/3) relative to a benchmark experiment with a 0.3 m high dam, while in other experiments, only the length was scaled by λ.…”
Section: Resultsmentioning
confidence: 99%
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“…However, they also stated that GP provides a non-physically-based analysis for natural phenomena. Hakimzadeh et al (2014) collected dam breach data from literature, laboratory experiments and numerical model simulations to calibrate and validate GP to successfully simulate outflow hydrograph due to earthen dam breach. Kitsikoudis et al (2015) used GP for the predciton of for the mean flow velocity prediction in sand-bed and gravel-bed rivers.…”
Section: Gp Algorithm Applicationsmentioning
confidence: 99%
“…After the dam crest was smoothed and leveled, a rectangular notch (h 0 × w 0 0.05 m × 0.1 m) is excavated on the dam crest, adjacent to the glass side-wall. This ensures that the overtopping failure starts at the same place every time, guaranteeing the repeatability of the experiments (Hakimzadeh et al, 2014).…”
Section: Dam Constructionmentioning
confidence: 97%