Analisis Respons Struktur Portal Baja Bertingkat Akibat Kandungan Frekuensi Gempa yang Berbeda

Indonesia is one of the countries that located in the quake zone. But not all earthquakes that occur is a devastating earthquake. Some earthquake parameters that affect the level of damage from a building structure are the peak ground acceleration, response spectrum value, earthquake duration, and earthquake frequency content. The earthquake frequency content parameters were considered the most influential on structural damage. The objective of this research is to get the response from the structure of multilevel steel portals such as displacement, inter-story drift, velocity, acceleration, and to analyze the displacement limit based on SNI 1729-2012. The reviewed structure is an open frame steel building model that is into 5 levels, 10 levels, and 15 levels. This study use time history analyses with 9 earthquake recordings of the Kobe earthquake, Mexico earthquake, Nepal earthquake, Chile earthquake, New Zealand earthquake, Sumatera earthquake, Fredericksburg earthquake, Mentawai earthquake, and Northridge earthquake that has been grouped into low-frequency content, medium frequency content, and high-frequency content. The results showed that the structure responses such as displacement, velocity, and acceleration will increase with the increasing number of levels of the building structure. The inter-story drift the allowed level of the structure still qualified based on SN 1729-2012 where the allowed drift in 7 cm and the inter-story drift produced by the structure is still less than 7 cm. An earthquake with low-frequency content has an enormous influence on the structure response in all the level structure

Aplikasi Backpropagation Neural Network (BPNN) dalam Memprediksi Respon Sistem Rangka Baja Bertingkat Berdasarkan Spektra Gempa Indonesia

The planning of multi-story steel portal frame needs to watch for the resulted structure response due to the planning of earthquake-resistant building is needed in the earthquake-vulnerable area such as Indonesia. One of the method used to predict structure response of multi-story steel portal frame is Artificial Neural Network (ANN). The structure used to get the structure response is 10-story steel portal frame, modeled with the help of a element software and earthquake spectrum response analysis method according to SNI 1726-2012. Analyzing is conducted on each capital city of the 34 provinces with 3 different soil types, resulting in 102 data sets. It is therefore concluded that biggest values of movement response and structure velocity are, respectively, 0,0497 m and 0,0292 m/s in the city of Palu, and then the biggest value of structure acceleration is 2,15932 m/s2 on Palu. The accuracy level reaches 99% with 816 training data sets and Mean-Squared Errors (MSE) value is 0,00485. Therefore, it is concluded that ANN can predict multi-story steel portal frame response on all capital cities in Indonesia

Perbandingan Kapasitas Sambungan Balok -Kolom Konvensional dan Pracetak Sistem Rigid Joint Precast (RJP) (Studi Kasus Gedung Rumah Susun Sederhana Sewa Pekanbaru)

Precast system is a system which offers quality controlled implementation, they are neat, fast and economical, thus included systems that fiil the criteria for green construction. Precast concrete construction has many advantages than conventional systems. The advantage of this system are, quality assured, fast and massal production, rapid development, environmentally friendly and tidy with good product quality. For buildings precast system have been researched, developed, applied and proven reliability by the Ministry of Public Works and the various national construction industry since 1995, especially in support of the development program of massal simple flat throughout Indonesia. One of the buildings using precast system is building Rusunawa Pekanbaru. This Rusunawa using RJP-type system of precast concrete. Part of the concern is a precast system on beam-column connections. Beam-column relationship is a critical area in the event of earthquake loads. Earthquake load has a complex effect on the structure. In this study has compared the moment capacity between conventional beam-column connections with precast type of RJP. The results are there differences in the precast concrete RJP peak voltage at the connection angle (A), exterior (B) and interior (C) in the amount of 53.85 MPa, 54.31 MPa and 54.31 MPa. RJP moment the total capacity are equal to A = 140.35 kN.m, B = 116.96 kN.m and C = 116.96 kN.m. Peak voltage difference and the connection moment capacity caused by configuration differences longitudinal reinforcement

Evaluasi Cepat Struktur Portal Beton Bertulang terhadap Gempa

Earthquakes from 2004 to 2009 in Indonesia has resulted in many deaths and the collapse of the building. The American Society of Civil Engineers (ASCE) with the Federal Emergency Management Agency (FEMA) has published FEMA 310 as a handbook for seismic evaluation of buildings. FEMA 310 evaluation includes evaluation of phase one, two and three. Evaluation of phase one (tier 1) using a checklist of structural, non-structural, region of low sismicity and also geologic site hazard and foundation. Evaluation of the second phase (tier 2) is a linear analysis for structures such as static equivalence analysis and dynamic. Evaluation of the third stage (tier 3) is non- linear analysis of such a pushover. If the evaluation phase of the assessment does not meet the criteria, then it should proceed to the second phase, as well as for further evaluation. The building is located in the city of Pekanbaru that is reviewed and evaluated up to the second phase. Calculation of seismic shear force have used seismic hazard map of Indonesia has been published in 2010. This is one step to improve the performance of structures to resist earthquakes, it is expected that this will reduce structural damage and avoid loss of life. The results of the evaluation phase one (tier 1) that has been conducted shows that the buildings that were reviewed non- compliant for weak story and soft story. Evaluation of the second phase (tier 2) shows that all the columns in buildings were able to bear the load, while some beam were over strength, however both of building can be declared the buildings are safe against earthquakes (compliant)

Potensi Jaringan Saraf Tiruan Backpropagation dalam Memprediksi Respon Sistem Multi Degree Of Freedom Akibat Pembebanan Dinamik

One of the simplification model of structure in the structural dynamic engineering was converting the model of a structure into the system that has mass, stiffness, damping percentageand number of Degree of Freedom (DOF) whether in single number (Single Degree of Freedom) or multi number (Multi Degree of Freedom) as its components. Yet the application of model SDOF system was used as fundamental analysis and had to be developed for MDOF system. The research of MDOF system had become necessity to be continuously done in order to improve the previous existing analysis method. One of the method that potentially can be used was with Artificial Neural Network (ANN). Thus why this research was aimed to identify the capability of ANN in predicting the system responses. The analysis of system with 4, 6 and 8 DOFs that was subjected to dynamic excitation such as sinusoidal, triangular, rectangular and ramp load was done with Newmark-β method listing program of FORTRAN. Then analysis continued with Backpropagation Neural Network (BP-NN) using MATLAB program. The input data for BP-NN were heights (H), mass, stiffness, damping value, natural period (Tn) and dynamic load factor (DLF) with system responses as target data. The result had shown that variation of dynamic loads and system parameter had affected the value of system responses. While BP-NN training result showed its ability in predicting the system responses was decreasing from displacement to velocity and acceleration. It could be seen within the degradation value of regression (R) from 0.99-0.84, the increase of Mean Squared Error (MSE) from 1.19×10-7-0.7654 and error percentage from 5%-41%. Therefore ANN method was not capable to be used in predicting the responses of MDOF system under dynamic loads