PREDICTION OF PILE TO PILE CAP CONNECTION MOMENT LINDER SEISMIC LOADING USING MACHINE LEARNING /

Na minha lista:

Detalhes bibliográficos
Autor principal:	KAISAR, MD RUSAT
Autor Corporativo:	Supervised by Dr. Tanvir Mustafy (Associate Professor Dept of CE, MIST)
Formato:	Livro
Idioma:	inglês
Publicado em:	Dhaka : CE DEPT. MIST, c2025.
Assuntos:	Civil Engineering This Thesis Paper of CE in BSc Program.
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados: PREDICTION OF PILE TO PILE CAP CONNECTION MOMENT LINDER SEISMIC LOADING USING MACHINE LEARNING /

Quick Look
CYCLIC RESPONSE OF SPUN PRECAST CONCRETE PILE TO PILE CAP JOINT /
Quick Look
NUMERICAL INVESTIGATION FOR LATERAL CAPACITY OF PRE-TENSIONED SPUN PRECAST CONCRETE PILE TO PILE CAP JOINT UNDER REVERSE CYCLIC LOADING /
Quick Look
EFFECTS OF SHOE AND CAP OF BEARING CAPACITY OF PILE IN DENSE SANDY SOIL /
Quick Look
CHEEKING OF LOAD BEARING CAPACITY AND STRUCTURAL QUALITY OF A SINGLE CAST IN SITU PILE WITH STATIC PILE LOAD TEST AND PILE INTEGRITY TEST /
Quick Look
Pile foundations /
Quick Look
Engineering of pile installations /
Quick Look
MOMENT CAPACITY PREDICTION TO PREVENT FAILURE OF BOLTS AT CRITICAL JOINT OF FLUSH END PLATE CONNECTION BASED ON MACHINE LEARNING ALGORITHMS /
Quick Look
Pile design and construction practice /
Quick Look
Pile foundations design and construction
Quick Look
Pile foundations in Engineering Practice /
Quick Look
EARTHQUAKE MAGNITUDE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING /
Quick Look
AXIAL CAPACITY OF DRIVEN PILE AT JOLSHIRI, DHAKA /
Quick Look
ESTIMATING PILE BEARING CAPACITY USING PARAMETERS OF DHAKA SOIL AND DEVELOPING A CORELATION WITH FINAL CAPACITY OBTAINED BY BMTF DRIVEN PILES /
Quick Look
HOSPITAL READMISSION PREDICTION USING MACHINE LEARNING ALGORITHMS /
Quick Look
A COMPARATIVE STUDY BETWEEN DRIVEN PILE AND BORED PILE IN TYPICAL MIRPUR SOIL / Maj Md. Mazedul Islam Chowdhury Sumaiya Binte Anwar Syeda Tahsin Tabassum
Quick Look
GROUND IMPROVEMENT USING SAND COMPACTION PILE AT SAGUFTA RECLAIMED SITE /
Quick Look
TROPICAL CYCLONE PREDICTION AND INTENSITY ESTIMATION USING MACHINE LEARNING AND DEEP LEARNING /
Quick Look
PREDICTION OF POROSITY AND PERMEABILITY FOR RESERVOIR CHARACTERIZATION USING MACHINE LEARNING
Quick Look
PREDICTION OF POROSITY AND PERMEABILITY FOR RESERVOIR CHARACTERIZATION USING MACHINE LEARNING /
Quick Look
PREDICTION OF STUDENT'SCOURSE GRADE USING MACHINE LEARNING ALGORITHM /
Quick Look
HOLISTIC SEISMIC VULNERABILITY AND RISK ASSESSMENT OF DHAKA CITY USING MACHINE LEARNING /
Quick Look
SHEAR AND BENDING RESISTANCE OF PRESTRESSED SPUN PRECAST CONCRETE PILE /
Quick Look
FEASIBILITY STUDY FOR VERTICAL EXTENSION OF AN EXISTING BUILDING WITH PILE FOUNDATION /
Quick Look
DEVELOPMENT OF AN APPLICATION SOFTWARE FOR SALES PREDICTION USING MACHINE LEARNING ALGORITHMS