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Arul Arulrajah
Researcher at Swinburne University of Technology
Publications - 410
Citations - 13387
Arul Arulrajah is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Fly ash & Compressive strength. The author has an hindex of 53, co-authored 381 publications receiving 9215 citations. Previous affiliations of Arul Arulrajah include Curtin University.
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Characteristics of Singapore Marine Clay at Changi
Arul Arulrajah,Myint Win Bo +1 more
TL;DR: Singapore marine clay at Changi is a quartenary deposit that lies within valleys cut in the Old Alluvium. as mentioned in this paper The purpose of the site characterization was to determine the consolidation characteristics, strength characteristics, stratigraphy and mineralogy of Singapore marine clay.
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Compressive and Flexural Strength of Polyvinyl Alcohol–Modified Pavement Concrete Using Recycled Concrete Aggregates
Teerasak Yaowarat,Suksun Horpibulsuk,Arul Arulrajah,Mehdi Mirzababaei,Ahmad Safuan A. Rashid +4 more
TL;DR: In this paper, the utilization of recycled concrete aggregate (RCA) in civil engineering applications is gaining popularity worldwide due to the increased efforts to promote preservation of the preservation of th...
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Polymers for Stabilization of Soft Clay Soils
TL;DR: In this article, the effect of polymers on the unconfined compression strength of soil samples prepared at maximum dry unit weight (i.e., 162kN/m 3 and 17% water content) and a lower water content (e.g., 108kN 2 m 3 and 48% water contents) was investigated.
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Factors affecting field instrumentation assessment of marine clay treated with prefabricated vertical drains
TL;DR: In this article, the Asaoka and Hyperbolic methods were used to predict the ultimate settlement of the reclaimed land under the surcharge fill, and the authors highlighted the significance and influence of various factors that affect predictions.
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Flooding Hazards across Southern China and Prospective Sustainability Measures
TL;DR: Wang et al. as discussed by the authors investigated the weather conditions based on recorded data, which showed that both 1998 and 2016 were in El Nino periods, and the flooding in 2016 had a lower hazard scale than that in 1998 but resulted in larger economic losses than that of 1998.