WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10002205,
	  title     = {The Effect of Damping Treatment for Noise Control on Offshore Platforms Using Statistical Energy Analysis},
	  author    = {Ji Xi and  Cheng Song Chin and  Ehsan Mesbahi},
	  country	= {},
	  institution	= {},
	  abstract     = {Structure-borne noise is an important aspect of
offshore platform sound field. It can be generated either directly by
vibrating machineries induced mechanical force, indirectly by the
excitation of structure or excitation by incident airborne noise.
Therefore, limiting of the transmission of vibration energy
throughout the offshore platform is the key to control the structureborne
noise. This is usually done by introducing damping treatment
to the steel structures. Two types of damping treatment using onboard
are presented. By conducting a Statistical Energy Analysis
(SEA) simulation on a jack-up rig, the noise level in the source room,
the neighboring rooms, and remote living quarter cabins are
compared before and after the damping treatments been applied. The
results demonstrated that, in the source neighboring room and living
quarter area, there is a significant noise reduction with the damping
treatment applied, whereas in the source room where air-borne sound
predominates that of structure-borne sound, the impact is not
obvious. The conclusion on effective damping treatment in the
offshore platform is made which enable acoustic professionals to
implement noise control during the design stage for offshore crews’
hearing protection and habitant comfortability.},
	    journal   = {International Journal of Mechanical and Mechatronics Engineering},
	  volume    = {9},
	  number    = {8},
	  year      = {2015},
	  pages     = {1529 - 1534},
	  ee        = {https://publications.waset.org/pdf/10002205},
	  url   	= {https://publications.waset.org/vol/104},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 104, 2015},
	}