Theoretical developments in the complex variable boundary element method

A review is given of complex variable based numerical solutions, CVBEM methods, for Dirichlet potential problems in two and higher dimensions.     

Repair evaluation of concrete cracks using surface and through-transmission wave measurements

Surface opening cracks are common defects in large civil structures like bridges. They allow penetration of water or other agents that result in loss of durability earlier than expected. Their repair can be conducted by the injection of epoxy material that seals the crack sides keeping out any aggressive substances in addition to the recovery of strength. In order to evaluate crack parameters before impregnation as well as to determine the final repair effectiveness, a combination of Rayleigh and longitudinal waves is applied. Rayleigh waves demonstrate the filling condition of the material into the shallow layer near the surface while tomography using longitudinal waves through the thickness yields information about the area inside the structure. Wave propagation dispersion features are exploited by the proposed tomography at different frequencies, demonstrating that higher frequencies lead to more accurate characterization.     

Dynamical–mechanical and thermal analysis of polymeric composites reinforced with keratin biofibers from chicken feathers

Keratin fibers from chicken feathers were used as short-fiber reinforcement for a poly(methyl methacrylate) matrix. The composites were evaluated via thermal and dynamical–mechanical analysis. The thermal stability and transition temperature were found to be higher than standard PMMA. The storage modulus at room temperature increased with 1% and 2% weight of keratin biofibers and, at high temperature, the reinforcement provides higher stability, as reflected in the modulus behavior. Keratin fibers within the rigid polymer reduces tan δ peak, indication of a strong interface, as optical images confirm.     

Machine-learning paradigms for selecting ecologically significant input variables

Harmful algal blooms, which are considered a serious environmental problem nowadays, occur in coastal waters in many parts of the world. They cause acute ecological damage and ensuing economic losses, due to fish kills and shellfish poisoning as well as public health threats posed by toxic blooms. Recently, data-driven models including machine-learning (ML) techniques have been employed to mimic dynamics of algal blooms. One of the most important steps in the application of a ML technique is the selection of significant model input variables. In the present paper, we use two extensively used ML techniques, artificial neural networks (ANN) and genetic programming (GP) for selecting the significant input variables. The efficacy of these techniques is first demonstrated on a test problem with known dependence and then they are applied to a real-world case study of water quality data from Tolo Harbour, Hong Kong. These ML techniques overcome some of the limitations of the currently used techniques for input variable selection, a review of which is also presented. The interpretation of the weights of the trained ANN and the GP evolved equations demonstrate their ability to identify the ecologically significant variables precisely. The significant variables suggested by the ML techniques also indicate chlorophyll-a (Chl-a) itself to be the most significant input in predicting the algal blooms, suggesting an auto-regressive nature or persistence in the algal bloom dynamics, which may be related to the long flushing time in the semi-enclosed coastal waters. The study also confirms the previous understanding that the algal blooms in coastal waters of Hong Kong often occur with a life cycle of the order of 1–2 weeks.     

Use of perlite as a pozzolanic addition in producing blended cements

There are ∼6700 million tons of perlite reserves in the world and two thirds of this amount takes place in Turkey. Although perlite possesses pozzolanic properties, it has not been so far used in producing blended cements. This study focuses on the use of natural perlites in blended cement production. For this purpose, after examining the suitability of the perlites as pozzolans and their ease of grindability, 16 types of blended cements having 320 m²/kg or 370 m²/kg Blaine fineness were produced by using 20% or 30% perlite additions. Production of the blended cements were accomplished either by intergrinding or separate grinding. The performance of the cements was evaluated by conducting the following tests: particle size distribution by laser diffraction, normal consistency, setting time, soundness and compressive strength. The results showed that perlites possess sufficient pozzolanic characteristics to be used in production of blended cement.     

Limited reinforced space in segmental retaining walls

Current design of geosynthetic reinforced segmental retaining walls considers an a priori limitless length for reinforcement installation. Such length is typically 0.5–0.7 times the height of the wall. However, often there are constraints on such space; e.g., bedrock formation located at a small distance behind the facing. The objective of this note is to introduce a procedure for assessing the required long-term strength of the reinforcement while considering its limited length. Predictions by a conventional slope stability analysis were first checked against a continuum-mechanics based numerical analysis. Upon obtaining good agreement, a design chart was developed. The chart enables the determination of the reduction in the lateral earth pressure coefficient due to the constrained space. The revised earth pressure coefficient can be used with current analytical methods to account for the limited space. The results appear to be valid for conventional walls retaining a limited volume of soil. Comparison with limited experimental results for unreinforced backfill shows reasonably good agreement.     

Flexural retrofit of a bridge subjected to overweight trucks using CFRP laminates

The reinforced concrete spans of a bridge subjected to extreme vehicular loads are investigated and retrofitted with carbon fiber reinforced polymer (CFRP) laminates. A finite element model of the bridge superstructure was created to determine the forces resulting from extreme loads. A moment–curvature analysis was subsequently carried out to investigate the flexural characteristics of the reinforced concrete sections prior to and after strengthening with CFRP laminates. The analytical modeling concluded that significant strength can be gained at the ultimate limit state, while relatively small increase in strength is observed at service load levels. The increase in flexural resistance at ultimate does provide an adequate margin of safety against further overloading. The analytical investigation and the retrofitting work are presented herein.