It is with great pleasure that we present the proceedings of the 10th International Conference on Structural Engineering and Construction Management (ICSECM) 2019. This is the ninth consecutively organized conference following a series of International Conference since 2010, keeping its tradition of adhering to engineering excellence. Prof. Upul B. Dissanayake Vice-Chancellor v Massage form Conference Co-Chairs It is a Pleasure for us to welcome all the participants to the 10th International Conference on Structural Engineering and Construction Management (ICSECM) 2019 in Kandy, Sri Lanka. We, the co-chairs would gratefully like to mention the previous successful conference, which were held for seven consecutive years in Kandy, Sri Lanka. The theme selected for the conference-Sustainable Built environment-is extremely relevant for today's world. With the vision of promoting innovative and sustainable research for tomorrow's development. We organize this conference as a meeting place of talents, knowledge and dedication. Therefore, we trust that the conference will produce great ideas from a variety of research and exchange the knowledge of experts, colleagues and friends who are working for the world's sustainable development. The conference focuses on the different sub topics in Sustainable built environment: such as Sustainable construction, Sustainable infrastructure development & planning, Urban green infrastructure & planning

Fault identification using the emitted mechanical noise is becoming an attractive field of research in a variety of industries. It is essential to rank acoustic feature integration functions on their efficiency to classify different types of sound for conducting a fault diagnosis. The Mel frequency cepstral coefficient (MFCC) method was used to obtain various acoustic feature sets in the current study. MFCCs represent the audio signal power spectrum and capture the timbral information of sounds. The objective of this study is to introduce a method for the selection of statistical indicators to integrate the MFCC feature sets. Two purpose-built audio datasets for squeak and rattle were created for the study. Data were collected experimentally to investigate the feature sets of 256 recordings from 8 different rattle classes and 144 recordings from 12 different squeak classes. The support vector machine method was used to evaluate the classifier accuracy with individual feature sets. The outcome of this study shows the best performing statistical feature sets for the squeak and rattle audio datasets. The method discussed in this pilot study is to be adapted to the development of a vehicle faulty sound recognition algorithm.

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Seats are one of the most significant components of vehicles. Customer's expectations for the comfort in vehicle seats rise continuously. Designing of automobile seats has always been a challenge for engineers as design parameters for automobile seats are complex. When it comes to the design of automobile seats, three design objectives, namely comfort, safety and health need to be fulfilled simultaneously. Vibration analysis plays a major role in engineering including the area of design for automobile comfort. Human structure, as a mechanical system, is immensely complex and the mechanical properties of human body readily undergo change. In addition, the vibration can initiate the development of pressure ulcer and other long-term diseases. Comfort measurement is challenging because of such factors as user subjectivity, seat geometry, occupant anthropometry and amount of time spent sitting. The purpose of this study is to identify the most significant parameters that make vibration in the vehicle seat which reduce passenger comfort and to identify the design parameters that can impact on appropriate seat design. Suspension systems, seat cushion and sitting postures are some of the vital parameters that have huge impacts on comfort analysis. This review could help in design of seat cushions with appropriate material properties and in analysing the comfort levels of human body to reduce the vibration transmissibility at the critical frequency bands.