The main objective of this study is to produce a landslide susceptibility map for the Lao Cai area (Vietnam) using a new hybrid intelligent method based on least squares support vector machines (LSSVM) and artificial bee colony (ABC) optimization, namely LSSVM-BC. LSSVM and ABC are state-of-the-art soft computing techniques that have been rarely utilized in landslide susceptibility assessment. LSSVM is adopted to develop landslide prediction model whereas ABC was used to optimize the prediction model by identifying an appropriate set of the LSSVM hyper-parameters. To establish the hybrid intelligent method, a GIS database with ten landslide-influencing factors and 340 landslide locations that occurred mainly during the last 20-years was constructed. These historical landslide locations were collected from the existing inventories that sourced from (i) five landslide projects carried out in this study areas before and (ii) interpretations of SPOT satellite images with resolution of 2.5 m. The study area was geographically split into two different parts, with landslides located in the first part was used for building models whereas the other landslides in the second part was used for the model validation. Performance of the LSSVM-BC model was assessed using the receiver operating characteristic (ROC) curve and area under the curve (AUC). Result shows that the prediction power of the model is good with the area under the curve (AUC) = 0.900. Experiments have pointed out the prediction power of the LSSVM-BC is better than that obtained from the popular support vector machines. Therefore, the proposed model is a promising tool for spatial prediction of landslides at the study area. The landslide susceptibility map is useful for landuse planning for the Lao Cai area.

https://link.springer.com/content/pdf/10.1007%2Fs10346-016-0711-9.pdf

Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

The management of municipal solid waste (MSW) in many countries throughout the world has changed significantly over the past 50 years, with a shift from uncontrolled dumping or burning to complex systems that integrate multiple processes to recover materials or energy and provide containment to reduce environmental impacts. A discussion of past landfilling practices and the evolution to modern landfilling is provided. Opportunities for designing and operating landfills in a more sustainable manner are discussed.

Sustainable Practices for Landfill Design and Operation

In this paper, the effect of spatial correlation of standard penetration test (SPT) data on the bearing capacity of driven piles in sand is analyzed. First, the direct approach for using SPT data to determine the bearing capacity of piles in sand is used to derive the expressions for probabilistic prediction of pile bearing capacity by considering the spatial correlation of the SPT data. To analyze the relationship between the probability of failure and the factor of safety, a procedure based on the advanced first-order, second-moment (FOSM) method is used. Then parametric studies are conducted on the spatial correlation between the spatial aver- age of SPT numbers over the pile length, NLV, and the spatial average of SPT numbers over an interval near the pile base ,N bV, and its effect on the bearing capacity of piles. The results indicate that it is important to consider the spatial correlation between NLV and NbV in the probabilistic prediction of pile bearing capacity. Ignoring this spatial correlation will underestimate the probability of fail- ure and lead to unsafe design. Finally, three tested piles are analyzed to demonstrate the probabilistic analysis of piles by considering the spatial correlation of SPT data and the procedure for probabilistic analysis of pile bearing capacity is summarized.

Effect of spatial correlation of standard penetration test (SPT) data on bearing capacity of driven piles in sand

Effects of High Strength Steel Bars and Steel Casing on the Response of Drilled Shafts

Effect of Bearing Capacity on Designing Foundations in Iraq Using STAAD Pro-v8i

Review of Soil Mechanics Concepts and Analytical Techniques Used in Foundation Engineering Manjriker Gunaratne In Situ Soil Testing Austin Gray Mullins Spread Footings: Analysis and Design Manjriker Gunaratne Geotechnical Design of Combined Spread Footings Manjriker Gunaratne Structural Design of Foundations Panchy Arumugasaamy Design of Driven Piles and Pile Groups Manjriker Gunaratne Design of Drilled Shafts Austin Gray Mullins Design of Laterally Loaded Piles Manjriker Gunaratne Construction Monitoring and Testing Methods of Driven Piles Manjriker Gunaratne and Austin Gray Mullins Retaining Walls: Analysis and Design Alaa Ashmawy Stability Analysis and Design of Slopes Manjriker Gunaratne Methods of Soft Ground Improvement James D. Hussin Impact of Groundwater on the Design of Earthen Structures Manjriker Gunaratne Index

The Foundation Engineering Handbook

Design of Driven Piles and Pile Groups

Depending on the stiffness of subsurface soil and groundwater conditions, pile foundations can be constructed using a variety of construction techniques. The most common 
techniques are (1) driving (Figure 9.1), (2) in situ casting and preaugering (Figure 9.2), 
and (3) jetting (Figure 9.3). Because of the extensive nature of the subsurface mass that it9.11.2 Shaft Integrity Test 471
9.11.3 Shaft Inspection Device 471
9.11.4 Crosshole Sonic Logging 472
9.11.5 Postgrout Test 473
9.11.6 Impulse Response Method 474
9.11.7 Thermal Integrity Profiling 4759.12 Methods of Repairing Pile Foundations 479
9.12.1 Pile Jacket Repairs 4799.13 Use of Piles in Foundation Stabilization 481
9.13.1 Underpinning of Foundations 481
9.13.2 Shoring of Foundations 4829.14 Additional Examples 484
References 488
Websites 490influences, the degree of uncertainty regarding the actual working capacity of a pile foundation is generally much higher than that of a shallow footing. Hence, geotechnical engineers constantly seek more and more effective techniques of monitoring pile construction 
to estimate as accurately as possible, the ultimate field capacity of piles.

Manjriker Gunaratne

Papers

The Foundation Engineering Handbook

Design of Driven Piles and Pile Groups

Construction Monitoring and Testing Methods of Driven Piles

In Situ Soil Testing

Impact of Groundwater on the Design of Earthen Structures