| dc.description.abstract | In this thesis project, tall building – one of the most invested place for living
– will be the main objective. Structural design like slab, beams, walls, foundations,
will be process in detail in order to describe the design steps. The first step will
begin with architecture drawing to the final is producing detail drawing for each
structure including slab, beam, and column. And the other part is Landslide early
warning based on surface crack detection using deep learning and computer vision.
As for special topics, there are many types in this project showing the
differences between of methods in order to provide the most efficient constructing
choice. For instance, wind force will be calculated according to EN-1991 (Euro
code), slab design will be carried out in form of flat slab with panel and solid slab,
column design in 1 specific methods which are force analysis method, compared
interaction diagram method. Besides, the design of beams in 2 distinct frames are
choosen the internal from taken from Etabs sofware.
Along with the design report is drawing used to express structural designed from
those files in detail. They include architect drawing, slabs reinforcement, and frame
design and be drawn by Revit Structure software, also supported by Naviate tool.
The research is of Landslide early warning based on surface crack detection is a
new method which rarely appears in Vietnam will also be described in detail for
scientific research, which is using deep learnning- Yolov8 combined with Google
collab to detection crack of ground surface; Canny Edge detection method to
measure the edge of the crack, and Euler distance method to identify the width and
length of the crack. | en_US |
